January 2020.Cdr

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Editorial

I am pleased to present the January 2020 Issue of Sampada. Last month, We had organised the MCCIA Annual Awards Functions where the achievements of Entrepreneurs who have successfully commercialised their innovations as well as Green and CSR initiatives of Corporate Sector were recognised at a well attended glittering function. We commend the Central Government for a bigger push for Infrastructure Projects of about Rs. One lac crores. We hope the implementation of all of these is speeded up and Pune as well as other parts of Maharashtra will get a fair share of these. We also feel that our members and companies around Pune explore the opportunities which will come up in these projects besides their regular business. As we move into the next decade, MCCIA is planning a range of events and initiatives of bigger magnitude. These Summits are focused on Agriculture Exports, Industrial Relations, Industry 4.0, Leadership, International Business and a few more. You will find details of these events in this issue. We look forward to whole hearted support from all of you at these prestigious events. We also request you to share these details with your business associates in India and abroad and encourage them to plan their visits around these events. This Issue of Sampada focuses on Data. The effective use of Data and Data Analytics in all walks of like is the need of hour. Agriculture, Manufacturing, IT, Banking and Finance, Research, Government Departments and many more segments of the Indian and Global Economy are using various technology platforms, techniques and tools to capture, analyse, process and store data for use in the present day operations and for future reference. There is tremendous room for Data Scientists and Data Analytics in all these areas. We, at MCCIA feel that Pune can be a prominent Data Science hub of India and for the world. In this issue, we are privileged to include interviews of Directors and HoDs of various Departments of some of the prestigious Research and Development Institutions in Pune. We have also included several interesting articles focused on Data. Besides Articles and Interviews focused on Data, we have also included a few articles in some of our ongoing Series and Reports on some the events organised by MCCIA over the last few weeks. As usual, we look forward to stay connected with you through email, personal visits, interactions on the side lines of events and over social media. We look forward to your impressions about this Issue of Sampada as well. Wish you all the best of business prospects in the months ahead.

Prashant Girbane Director General, MCCIA and Editor, Sampada [email protected]

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Editorial

Prashant Girbane Director General, MCCIA and Editor, Sampada [email protected]

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Vol. 75th • Issue 10 • January 2020 C o n t e n t s

7 Insulating India against trade wars 33 It is All About WHERE.... Founder Late A. R. Bhat - Sudhir Mehta - Advait Kulkarni 28 Editor 9 The Data Story of NCRA - India's biggest Center for 37 S>mQ>m gm`Ýg Am{U S>mQ>m A°Z°{b{ggMm Prashant Girbane Radio Astrophysics _°Ý`w\°$ŠM[a¨J_Ü`o (CËnmXZ joÌmV) hmoUmam Cn`moJ Content Co-ordinator Sudhanwa Kopardekar 12 IUCAA The Cosmic Data Cruncher - A{dZme {^S>o Production and Co-ordination Pramod Potbhare 17 The Data Journey of Automotive Research Association 41 Building Businesses in a Big Data Ecosystem of India - Prachi Shevgaonkar Page Layout G'tech Computers 20 Data Management Practices at BAIF Development 43 MCCIA News Cover Page Design Research Foundation MCCIA Annual Awards 2019 Vivek Sahasrabudhe Emerging Trends in Fire and Workplace Safety

Printing 23 Crucial Role of Data Science at IISER Modern Printing Service 49 How Sustainability can add value to SMEs 37 1358A, Shukrawar Peth, 25 Perspectives by First City Data Officer of Pune Municipal - Chetankumar Sangole Bajirao Road, Pune 411002. Corporation Ph. : 020-24471034 51 Gearing up for the future with Quality Printer/Publisher 28 Data Science & Analytics : An Overview as foundation Printed and Published by - Sunil Kapadia - Dr. Sanjeevani Gogawale, Prashant Girbane - Sacchidanand Gogawale Director General Mahratta Chamber of Commerce, 31 Anecdotes from My Corporate Journey as a Manager 55 D. I. G. for Gold Industries and Agriculture - Vishwas Datye Senapati Bapat Road, Pune 411016. - Dr Kalindi Kale Tel. : 020-25709000

Owner The President and The Members of 7 the Executive Board of Mahratta Chamber of Commerce, Industries and Agriculture A & B Wing, 5th Floor, 51 49 MCCIA Trade Tower, International Convention Centre Senapati Bapat Road, Pune 411016. Tel. : 020-25709000

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Vol. 75th • Issue 10 • January 2020 C o n t e n t s

CIN : U01409MH1974PLC017803

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Global Trade Wars have been the nation. for-money rentals in the mega parks making headlines almost every day in should also be considered to encourage the recent times. Uncertainty is looming To encourage entrepreneurs to set- more participation. over both developed as well as up domestic production capabilities, to emerging economies making economic substitute imports with domestic Hitherto, investment in land was a survival and viability unpredictable. In its products and to move towards good investment as the land was quest to become a self-sufficient nation, becoming a self-sufficient and self- expected to appreciate and thus many promote domestic production and sustainable nation, the Government entrepreneurs would invest in land to discourage imports, Government has should consider providing “plug and set-up their production facilities. been aggressively promoting “Make in play” infrastructure. Government should Contrary to this, in the current scenario, India” initiative. It has also launched create “mega industrial parks”, wherein land prices are high, stabilized and not several other schemes to support all infrastructure should be under control expected to appreciate in the near budding entrepreneurs and established of a single entity, PPP or Private Mega future, thus being a discouragement for manufacturing units. Industrial Parks, which would provide many companies and entrepreneurs. common facilities like STP, ETP, Land acquisition is anyways considered Being a self-sufficient nation is an Transformer, DG, UPS, Packaging, to be a challenge and most people ideal situation but requires higher general utility support, logistics would like to avoid. Government intervention and support. management, storage facilities etc. In The MSME sector, considered to be the t h i s s c e n a r i o , p r o s p e c t i v e Proposed Model : engine of growth for any nation, is manufacturing units would only need to Recommendation for Government : currently facing multiple challenges in set up their plant and machinery without Government should start by India. Absence of adequate and timely worrying about land acquisition and identifying one cluster for import organized finance, limited knowledge, related challenges. Land acquisition is substitution and emerging export non-availability of suitable technology, also one of the deal-breakers for industry. Within the cluster, at least 10% high cost of credit and overregulation multinational companies as well. The of the space should be reserved for are factors impending growth of this plug-and-play infrastructure facility common services like banks, logistics, sector. Adding to the woes, currently, should disaggregate assets like land, R&D labs, Packaging, Product banks, NBFCs and other financial building, common infrastructure, Displays, Staff Transportation etc. It i n s t i t u t i o n s a r e f a c i n g s e v e r e services and plant & machinery, while should provide interest subvention of turbulence, thereby further choking the allowing easy transfer of machinery if 5% for all investments in these specified liquidity pipeline and growth engine of the project is not viable. Easy and value- clusters and support developers to

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6 : OmZodmar 2020 : OmZodmar 2020 7 www.facebook.com/PuneMCCIA www.facebook.com/PuneMCCIA The Data Story of NCRA – India's biggest Center for Radio Astrophysics

Project Cost Reduction and Improved IRR In conversation with MCCIA Team, Dr. Yashwant Gupta, What is the story of the inception of NCRA? Director of India's National Center for Radio Astrophysics The group was started by Dr. Govind Swarup in the 1960s as sheds light on the data journey of the prestigious institution, a part of the Tata institute of fundamental research (TIFR). and the relevance of data in operating one of the largest radio The first major facility built by the group was the Ooty radio telescopes in the world. telescope in 1970. Few other intermediate facilities were built in the coming decades. A groundbreaking moment came in mid-1980s, when the idea of building a Giant Metrewave Radio Telescope was put forward. There were very few large facilities operating at meter wavelengths at that time, leaving us remiss to many interesting facets of the universe. Getting a proposal of this scale accepted was a challenge, but it was given a go ahead by TIFR and the enable rent under Viability Gap Funding manufacturing units. The model will help deficit nation into a trade surplus nation Department of Atomic Energy. model. in increasing employment for local and to insulate our nation from the communities by 2x-3x times as growing global trade wars, Government Why was Pune chosen to host the project? P r o j e c t C o s t R e d u c t i o n a n d compared to stand alone industrial needs to encourage growth in domestic Choosing an ideal location for a project of this degree Improved IRR : units. Plug-and-play model will have the manufacturing capacities. It should required various aspects to be taken care of. Based on the above case study, it flexibility of expansion and change as consider providingfacilities like plug- For an optical telescope, light pollution is to be avoided. may be observed that there has been in per business demand since there would and-play infrastructure that would help Radio signals have their own enemies. A major foe is man- overall reduction of ~28% in funding be minimal constraints of land and entrepreneurs, manufacturers and made noise pollution. We wanted a place which was requirement as well as reduction in building availability. global companies setup manufacturing relatively secluded form the hustle bustle of a big city, but not project gestation period by one year, units in India. “Make in India” is a strong Can you tell us a little bit about NCRA? so far that people couldn't come to work. Geographical having an impact of ~15% reduction in As compared to owned and initiative and needs to be supported by Our organisation is dedicated to doing research in astrophys- factors relating to conditions in the earth's ionosphere also finance cost. mortgaged properties with legal issues, not only ease of doing business or ics. You can do astronomy in various wavebands, radio had to be taken into consideration. Pune fit the bill perfectly. t h e s e a s s e t s w o u l d b e e a s i l y finance facilities, but should also be wavebands is one of those avenues. This field has a more Pune University graciously offered to host the institute, and Expected Results : transferable thereby reduction in NPAs backed by easily available, hassle-free than 70 year old history of examining different aspects of the the group shifted from Ooty and Bangalore to the city of The proposed model will help in and there would be ~25%-35% and value-for-money infrastructure. universe, by trying to study radio waves coming from different Pune. Our neighbors IUCAA and C-DAC soon followed. reducing funding requirement, improve reduction in capital requirement by ------objects. Our group runs the world's largest low frequency When the GMRT project reached a certain magnitude, our IRR for units, make it simpler for banks SMEs. Sudhir Mehta, Vice President-MCCIA, radio telescope facility – The Giant Metrewave Radio radio astronomy group was given the status of a national to assess project reports and help in Chairman & MD - Pinnacle Industries Telescope (GMRT), which is located about 80 Kms from center of TIFR, giving birth to NCRA. e a s y c l o s u r e o r r e l o c a t i o n o f To transform ourselves from a trade Email : [email protected] Pune.

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What volume of data is collected at GMRT? recorded. The reduced data comes out to be of the order of The GMRT facility allows us to collect the faintest of radio 100 Mbytes per second. We do this on GPU accelerated signals coming from far away in the universe. When the systems, which achieve to the order of 15-20 teraflops of real signals are faint, one needs very powerful telescopes to pick time computing. What's special about this is that it is 24/7 – it them up. We have an array of 30 antennas, with each cannot miss any bit of data coming in. Data is continuously antenna going up to 45 meters in diameter. These antennas flowing in and reduced data is flowing out to be recorded. This collect extremely large volumes of signals. The total data rate is managed by a set of very fast A/D converters taking in the that comes out of radio telescopes at GMRT at present is 20 data and feeding it to 16 machines each hosting two latest Gbytes per second. We handle data of this volume and rate family GPUs, interconnected by an InfiniBand 40 gigabyte at real time, in 24/7 fashion as the observatory operates per second network. continuously for long durations at a stretch. What happens to the reduced data? Once we get the reduced data, any user can take away the data files, and carry it with them to their respective locations. solve. to do that level of image processing. All the countries It is possible to analyse it using an everyday powerful ● A common challenge for a lot of observatories is the involved are actively trying to seek industry partnerships, to computer. Some of the data requires very sophisticated availability of funds and resources in terms of computing see how we can overcome the challenges of data rate, signal signal processing; which may take an astronomer several power, air conditioning capacity and electrical power processing, computing, transport and many more. Apart hours of to get the final image. needed to run and maintain the equipment and human from this, everybody in the world will want to store and resources needed to run the observatory. process locally some or all of the data generated at the From 2002 till date, every bit of data recorded in the observa- ● Apart from these arduous issues, there are some exciting observatory, so there is talk of setting up regional data tory is archived. We have a 700 petabyte archive with one futuristic challenges we are hoping to address. Today, centers in member countries. All these things are on the copy on location and one at the chamber. This process there are newer ways of extracting meaning from data. horizon in the next 5 to 10 years. What is the kind of research that goes on at NCRA based involves various steps from transporting data over optical We are working on developing better algorithms for post- on this data? fiber to digitizing, processing and storing it. Users from processing of downstream data, as well as ways and What are some instances when you have collaborated The research that goes on here is of various types. All the way around the world can access the archive and utilize the data means to apply these algorithms upstream, to real time with the industry and what is the scope for future from searching for new planets around nearby stars, to for their respective research. data. collaborations? spotting exotic objects in the universe such as the neutron ● Finally, data storage is a big challenge. We are only a 20 There are many areas of collaboration in which the industry stars, to finding far away radio galaxies emitting powerful So essentially, this data is open to the public. What is the year old observatory, but there are other observatories can be of use. When we set up a real time computing signals, to trying to understand the early phases of the process of acquiring it? which are much older. As the observatory gets older, this platform using GPUs, we collaborated with Nvidia to optimise universe and its evolution – a lot of exciting work takes place If someone were to have an idea about studying an object/ challenge will get bigger. the performance. We built a next generation monitor and at our observatory. Another fascinating thing which is phenomenon using the capabilities of the GMRT telescope, control system for the GMRT in collaboration with TCS; and possible with radio astronomy is to try and look for signs of they can make a proposal outlining the results they hope to One of the reasons we are looking to partner with industries is worked with Persistent to manage our archival systems. We extra-terrestrial existence. It is based on the premise that achieve. If the proposal is accepted, their experiment is to find better solutions with the help of joint collaborations. have worked with our industry partners for the design of the since we communicate predominantly with radio signals, an scheduled. Up to 18 months, the person is given exclusive end to end observatory management system for the SKA. advanced civilisation far away would also be doing the same. rights to the data. After that it is open to the public. Since we What is the potential of Artificial Intelligence and When the antennas for GMRT were designed in the initial get a lot of such requests, a separate server is needed for machine learning in solving some of the data problems? days, we worked closely with Tata Consulting Engineers How is radio astronomy different from optical? What is copying the archival data. Several people produce results Sometimes, it is difficult to find and distinguish objects in the (TCE). We have had interactions with smaller companies for the difference in the data collected? from this model. universe. For example, a pulsar star can be identified by the different parts of electronics as well. There is scope for When you go to the doctor, you may need to get an x-ray, a kind of signals it generates, but other objects in the universe, improvement in building better software for data analysis and Sonography or an MRI scan. Each test reveals a different In the entire Data collection process, what are some including man made interference sources, can mimic the many other areas where we are looking forward to designing aspect of the body. A good doctor will put all the tests together challenges NCRA faces and is hoping to address? signal. A human browsing through vast amounts of data and building things with the industry. and decipher a clear picture. Study of the Universe works in a ● The first major challenge is that the amount of raw data might miss these details. A smarter way to do this with higher similar way. Radio receives a different part of the electro- that comes in is very high. We do the bare minimum signal rate of success is through machine learning techniques. What are your future plans for the GMRT? What do you magnetic spectrum as compared to optical. The technology processing that is needed in order to reduce that data. Similarly, extracting features from final images and auto- hope to achieve in the coming years? needed to pick up and process the signal is different. One could think of more sophisticated things that could be mated detection of sources and features in these can benefit We have just upgraded our GMRT system, to keep it as one If a doctor wants to study bones, he will have to do an x-ray. done, with access to higher computing power. from machine learning techiques. Since we are not experts of the best observatories in the world, and it will continue to An MRI or an ultrasound will not be of much use. In the same ● Managing the problem of man-made interference in this, there is a lot we need to learn from the Machine remain so for at least the next five years. Over the next way, there are certain things which can be seen or proven continues to be another big challenge. Learning community to be able to explore this avenue. decade, we are thinking of making further enhancements to only at certain wavelengths. Certain stars, galaxies, phenom- We are working on creating algorithms to find these the observatory, which will then be called the expanded enon can only be studied predominantly only via radio waves. corrupting signals and remove them in real time. What are some international collaborative projects GMRT. From adding new antennas to modifying it with new Radio gives out data that complements optical astronomy as ● There is a lot of clever programming that needs to go into NCRA is excited about? capabilities, the GMRT will have a technical and scientific life well as data which cannot be deciphered through optical systems to make them fully real time without losing any Next generation of observatories being planned are all mostly of its own. In that process, we will continue to engage and telescopes. These two aspects allow us to get a better and ounce of data. This is another big challenge that we have international collaborations. We are part of one such project excite people across the world from astronomers, engineers, wider picture of the universe. managed to overcome to an extent. called the Square Kilometer Array, which is a radio astronomy scientists and even the general public. We have youngsters ● Further downstream, basic algorithms which do image facility being built together by 10-15 countries. This facility who come in to our facility who are fascinated with the work Where is the data analysed? Do you have local servers? processing have their own signal processing challenges. has the potential to take radio astronomy to a whole new being done here and become professional astronomers a few As per the recent upgrade to GMRT capabilities, we have a In some sense, it is similar to trying to reconstruct an scale. For example, the data being recorded there will be at years down the line. As long as our work continues to dedicated real time signal processing system. Every second, image from incomplete information. Finding the best least 10 times more than the 20 Gigabytes collected at innovate and inspire, our dreams will keep getting bigger. it takes 20 Gigabytes of data, does the minimum processing algorithms to get the highest fidelity of the restored image GMRT. Hence, the challenges in data will be even more ●●● required, and reduces the data to a rate which can be for broad bandwidth data, is a problem we are trying to daunting. The world's fastest computer will be barely enough

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● Spectra: We use analysers of radiation that breaks up to make sense out of the large scale of data. A large part of IUCAA The Cosmic Data Cruncher the light (or other forms of radiation) from various this spectrum is not accessible from the ground, since our sources, yielding spectra, often at several points of the atmosphere blocks radiation like X-rays, ultraviolet, infrared Dr. Somak Raychaudhury – Director, The Inter University Centre for same image. etc., and so we often have to use telescopes based in Space. Astronomy and Astrophysics in conversation with MCCIA Team ● Time: Another dimension we study is time. We do time Space telescopes have their own complexities in obtaining series analysis of radiation from stars, galaxies and other and interpreting data. celestial sources and monitor their changes over time. The data story of own, the centre will enable workers from Indian colleges and ● Particles: Often we detect particles like neutrinos, or We have grown up looking up to IUCAA as a place of Pune would be incom- universities to visit IUCAA for participating in research work cosmic rays, from celestial sources/ wonder. Was it a conscious decision to emphasize on p l e t e w i t h o u t t h e and executing developmental projects. The aim here is to citizen engagement? mention of this premier provide workers access to state-of-the-art astronomical Our objects of study in the sky differ from subjects in other Yes, IUCAA is viewed with wonder by many students and Centre for Astronomy instrumentation, theoretical know how, well equipped labs in that we cannot visit our subjects and touch or alter the general public, who visit our institute. However, IUCAA and Astrophysics (Inter- laboratories, an excellent library, data centre and high quality them, and we cannot repeat an experiment, which comes didn't create that wonder; it merely made the wonder of University Centre for computing facilities. with its own challenges as they cannot be controlled. The astronomy available to the people. Astronomy and Astro- nature of data we deal with is extremely complex. We have to p h y s i c s ( I U C A A ) ) , What is the relevance of data in Astronomy? collect all possible types of data on each single object and IUCAA was the first Indian institute that did widespread situated in the heart of Astronomy is a data-driven subject. If Astronomy is based make sense out of them. science outreach on this scale. We built a large school t h e c i t y. S i n c e i t s only on pure thought, it becomes science fiction. Unless it is outreach programme for school students and their teachers, i n c e p t i o n i n 1 9 8 8 , backed by experiments that generate data to either prove or How is the data analyzed? and created an outdoor science park. We started connecting IUCAA has become an disprove a hypothesis. Data is what distinguishes Astronomy Here is the general process we follow for data analysis: with future astronomers by going to schools, arranged indispensable part of the Pune's intellectual fabric. Somak from science fiction. We have various kinds of research going ● Raw data is first reduced to a manageable size by filtering programmes to enlighten people about Astronomy, and gave Raychaudhury, Director of this prestigious institute gives us on, which requires the designing of experiments to generate out noise. rise to many popularisation efforts over the years. We partly an insider's perspective on the groundbreaking work being enough useful data to back these theories. This is a big focus ● A theoretician provides a model denoting the kind of did this out of need- we have to reach the young people to done at IUCAA. here at IUCAA. information needed from the data. ensure they take up science research as a career. ● Most of the data collected is in the form of images. These What is the story of the inception of IUCAA? What was What kind of research is going on at IUCAA? images are converted to numbers. As part of our mandate, IUCAA was already an interface the objective behind setting up the institute? IUCAA is an organization with 21 faculty members, 25 ● At times, a particular image is compared under different with colleges and universities, which are the best places to When independent India started its educational sector, an post-doctoral fellows, and 57 research scholars in the spectral conditions using statistical tools, which leads to a find talent and human resource for big projects. undue divide was created between education and research. academic unit. On the research sphere, we have labs and more regression based approach (when we have Scientists employed at eminent research institutions, such as computing facilities supported by technicians and engineers. theoretical models and data, we try to find the best fit). Our ulterior motive behind citizen engagement has been Indian Institute of Science in Bengaluru, Tata Institute of Major events are happening here at IUCAA when it comes to ● Other times, when there is large amount of data, but no to hone talented young minds to drive forward the big science Fundamental Research in Mumbai, Saha Institute in Kolkata, research. All branches of Astronomy research go on here, to model, images are classified based on specified happening in the country. IUCAA is the place people come to, Institute of Mathematical Sciences in Chennai, etc. were do with stars, planets, galaxies and the universe as a whole. parameters using multi-dimensional clustering and in search of talent and resources. exclusively meant to do research, but they did not emphasize We dare to ask questions like: What is the universe? What is it classification techniques. Are industry collaborations possible in Astrophysics? much on education and mentoring young people. On the made of? How old is it? What are its constituents? How did ● Determining the uncertainty of each cluster is not a trivial other hand, the Universities were not encouraged to do they come to being, and what is going to happen to them? problem. Some outliers stand out, which are of great research, but to concentrate on teaching students- this was This is what gives IUCAA a lot of visibility internationally, importance in Astronomy. We are always interested in true for even the elite educational institutes in the country, giving rise to many possible collaborations. finding out unusual objects. such as the IITs and Central Universities. This resulted in two ● We also use machine learning and deep learning key problems. The best students in the country did not see techniques to find smarter ways of analyzing this data and the research being done in the country, and the best research finding unconventional solutions to problems. institutions in the country failed to inspire the best of the young people to come to do research with them. Early in the What are some of the problems you face when it comes 1980s, the Government recognized this challenge, and to data collection and processing? decided to make some Universities research-active. For We have to worry a lot about the completeness and some of the science subjects that needed expensive accuracy of the data. Margins of error, reliability of data and resources, it was decided to create centralized institutions uncertainties of measurement are very important issues, called Inter-University Centres. IUCAA was set up as an because we mostly study very far-away objects that are hard Autonomous Institution of the University Grants Commission to detect and measure. Astronomers trying to figure out the as a part of this initiative, as a body dedicated to the research universe, which can be compared to the famous tale of Astronomy and Astrophysics (A & A) for faculty and students elephant and the blind men. Just like the elephant, the What kind of data is collected at IUCAA? at Universities, and to help them teach this new subject at universe never shows itself in its entirety. Our form of data is We collect astronomical data in the form of electromag- their Universities as well. This is what sets IUCAA apart from light, which exists in electromagnetic radiation across a wide How can the industry be involved in the work being done netic radiation and more recently in gravitational radiation. other educational or research institutions in India. range of spectrum. Our eyes are sensitive to a very small at IUCAA? The data comes in the following sources : fraction of that spectrum. For thousands of years, this limited A & A are inter-disciplinary subjects. Collaborations are The main objectives of IUCAA are to provide a centre of spectrum has been our only source of information. Hence, we not only possible, but necessary in our field. Let me explain: ● Detection: At a basic level, we detect and identify excellence within the university sector for teaching, reseach need help from instruments, which reveal a different part of celestial objects at various parts of the electromagnetic and development in A & A, as well as to promote nucleation the spectrum. To understand an object, we have to put pieces We can't interact with stars, we can't touch them. We are and gravitation spectrum. and growth of active groups in this area in universities. of data together, extracted from different instruments. We bound here on earth. Hence, we have to rely on the informa- ● Images: We build two dimensional detectors to take Besides conducting a vigorous research programme of its need cutting edge techniques of data analytics and statistics tion that comes to us from them. We have to build instru- pictures of the sky, getting good quality data in images.

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ments; use very incomplete raw data like detectives do, and Project. applications in other areas. These tubes will have to be universities can go through IUCAA to access the piece together a story. In this process of puzzle solving, we built for the Indian geography and weather, and cannot be telescope and data created there. draw not only from mathematicians and astrophysicists as ● IUCAA is a part of the Large Synoptic Survey Telescope simply replicated from the existing ones in the USA. The expected, but also from a large number of academicians and (LSST) being built in Chile. This project is going to engineering sector can help in overcome such problems. ● During the second decade, IUCAA's telescope was industry technicians. We require a variety of tools from a generate data on about a million constantly changing established in Girawali, in Ambegaon taluka of variety of sectors, such as Physics, Mathematics, Chemistry, objects, which will come to the order of 100s of terabytes ● For the TMT, the mirrors with adaptive optics, the Maharashtra. Biology, Statistics, Data Analytics, Computation, and many per night. associated mechanical and electronic systems have to more. be built with ground-breaking precision, and quite a lot of ● Recently, IUCAA has set up two major projects of the ● IUCAA has the Associateship Programme, through it is engaging Indian industry all over the country. The Ministry of Human Resource Development (Pandit In order to process and make sense of data, we need which Indian colleges and universities faculty members vacuum-coating plant for all 492 mirrors of the telescope Madan Mohan Malaviya Scheme)- a Teaching Learning cutting edge instruments and techniques. All the data and students, who are doing research in A & A or related will be built by Indian Industry. Centre to support Astronomy courses at various levels all processing knowledge and tools developed here have areas can visit IUCAA for short or long durations to over the country, and to produce online courses in applications elsewhere. All of this requires industrial collaborate and to work on research projects with IUCAA ● The Data management and Software industry can help in Astronomy and related subjects. This includes Data collaboration- we challenge Industry to accomplish projects academics. People for over 200 Colleges and Universi- all our big projects, in terms reduction of noise from Science courses and projects in the astronomical at the cutting edge of technology. ties currently use IUCAA facilities, and this number is signals, compressing large volumes of data, storing and domain. rapidly growing. transporting, developing new algorithms to analyze data We can proudly say that a lot of our engineers move on to efficiently. ● Currently IUCAA has become the centre for planning the apply the knowledge gathered here, in a variety of other ● Back home, we have also designed a course in Astro- futuristic Thirty-Meter telescope and of LIGO - India, and fields. On a typical day, you may see a large number of statistics for the Department of Statistics at the Savitribai All our big international projects have similar challenges. has been instrumental in organizing the support needed faculties and students from universities, and engineers and Phule Pune University (SPPU), which is a favourite For this very purpose of seamless flow of expertise between for a project of this magnitude. technicians from industry on our campus. We are a very good amongst the students. IUCAA faculty members teach the communities, there is a knowledge cluster being set up in junction to interface with the industry. We also give our A & A optional courses for M.Sc. students of the Depart- Pune. IUCAA is the lead institution for setting up this cluster. As a result of many more such efforts and initiatives, students the skills necessary across a whole range of ment of Physics, SPPU, and about to start MSc and The knowledge cluster will be an interaction between IUCAA has become the centre for space based Astronomy in industry- not just mechanical and electrical engineering, but MTech programmes with SPPU. universities, research institutions and the industry. India. A bunch of theoreticians, observers and technicians also in the data sciences. Several of my PhD students, for LIGO – India (Model) find this place with big ideas. IUCAA has come a long way instance, with their Astronomy degrees are now working in Lastly, what are some milestones in the history of from there to building facilities, strengthening collaborations Finance, Data Sciences and the Software industries. IUCAA? and generating heaps of data. With the help from this data, The story of IUCAA is enmeshed with the recemt we are now proving the theories by those theoreticians. Many What are some existing collaborations that IUCAA is development and growth of Pune City. Pune's first internet more dreams are in the pipeline. proud to be a part of? connection came from IUCAA. We used to provide email and SALT ● For the last five years, IUCAA has been working with internet to the entire region through the ERNET project ISRO to train and help users of their astronomical hosted at IUCAA. The supercomputer system we have is one satellite: AstroSat, parts of which were built by our of the top five in the country. One of the best science libraries scientists in the previous decade. in the country was created here. People from the Universities were given free access to come and work. ● Along with ISRO, we are building an ultraviolet camera (SUIT) under the Aditya – L1 mission: a solar observatory IUCAA has seen quite a few milestones since its dedicated to study the Sun, to be launched within a year. inception in 1988.

● India will own 10% of the Thirty Metre Telescope (TMT), ● Within the first few years, IUCAA established itself as one which is going to be one of the world's biggest optical of the top few research institutions in the world. telescopes in 10 years' time. IUCAA is one of the three institutes in the country, who are in charge of it. The entire Are you open to further collaborations with the industry ● Within the first decade, the GR conference was hosted at software for controlling the TMT is being developed here in Pune? What are some areas in which future collabora- IUCAA, which brought in more 500 of the world's leading by companies in Pune. tions are possible? researchers of the field. Since then, large international Pushing technology to the edge is the need of the hour. conferemces have been a regular feature of IUCAA- for ● IUCAA is one of the four major players working on We need to address these challenges with expertise at both innumerable scientists, their first impression of India is building the Laser Interferometer Gravitational-Wave the hardware and software levels from the industry. Some coming to a meeting at IUCAA. Observatory (LIGO - India). Data computing, data examples are as follows: structuring and analysis of the entire observatory will be ● Dozens of workshops and conferences are held all over handled by IUCAA. Once it is built in 2026, IUCAA will run ● In LIGO - India, we measure vibrations with dimensions India organised by IUCAA to take experts in the field to all it. smaller than that of an atomic nucleus. We need to set up corners of the country to interact with student and teacher elaborate system of lasers and mirrors over structures communities. ● When the Nobel Prize for the gravitational wave discov- that are several km long. We need to isolate this system ery was awarded two years ago, forty of the authors of the from surrounding vibrations. Precision measurement is ● At the same time, seeds were planted for a science lead research publication were from India, and ten of crucial to take away noise and external vibrations while outreach programme, which continues to have tremen- those were from IUCAA. collecting data. Industry can be of great help in building dous impact on society. such precise systems. Conducting experiments to ● IUCAA is supporting National Centre for Radio Astro- measure gravitational waves requires building vacuum in ● IUCAA became a partner in the Southern African Large physics (NCRA) in the Square Kilometre Array (SKA) 4-km long enclosures, which itself have tremendous Telescope (SALT). Observers from Indian colleges and

14 : OmZodmar 2020 : OmZodmar 2020 15 www.facebook.com/PuneMCCIA www.facebook.com/PuneMCCIA ments; use very incomplete raw data like detectives do, and Project. applications in other areas. These tubes will have to be universities can go through IUCAA to access the piece together a story. In this process of puzzle solving, we built for the Indian geography and weather, and cannot be telescope and data created there. draw not only from mathematicians and astrophysicists as ● IUCAA is a part of the Large Synoptic Survey Telescope simply replicated from the existing ones in the USA. The expected, but also from a large number of academicians and (LSST) being built in Chile. This project is going to engineering sector can help in overcome such problems. ● During the second decade, IUCAA's telescope was industry technicians. We require a variety of tools from a generate data on about a million constantly changing established in Girawali, in Ambegaon taluka of variety of sectors, such as Physics, Mathematics, Chemistry, objects, which will come to the order of 100s of terabytes ● For the TMT, the mirrors with adaptive optics, the Maharashtra. Biology, Statistics, Data Analytics, Computation, and many per night. associated mechanical and electronic systems have to more. be built with ground-breaking precision, and quite a lot of ● Recently, IUCAA has set up two major projects of the ● IUCAA has the Associateship Programme, through it is engaging Indian industry all over the country. The Ministry of Human Resource Development (Pandit In order to process and make sense of data, we need which Indian colleges and universities faculty members vacuum-coating plant for all 492 mirrors of the telescope Madan Mohan Malaviya Scheme)- a Teaching Learning cutting edge instruments and techniques. All the data and students, who are doing research in A & A or related will be built by Indian Industry. Centre to support Astronomy courses at various levels all processing knowledge and tools developed here have areas can visit IUCAA for short or long durations to over the country, and to produce online courses in applications elsewhere. All of this requires industrial collaborate and to work on research projects with IUCAA ● The Data management and Software industry can help in Astronomy and related subjects. This includes Data collaboration- we challenge Industry to accomplish projects academics. People for over 200 Colleges and Universi- all our big projects, in terms reduction of noise from Science courses and projects in the astronomical at the cutting edge of technology. ties currently use IUCAA facilities, and this number is signals, compressing large volumes of data, storing and domain. rapidly growing. transporting, developing new algorithms to analyze data We can proudly say that a lot of our engineers move on to efficiently. ● Currently IUCAA has become the centre for planning the apply the knowledge gathered here, in a variety of other ● Back home, we have also designed a course in Astro- futuristic Thirty-Meter telescope and of LIGO - India, and fields. On a typical day, you may see a large number of statistics for the Department of Statistics at the Savitribai All our big international projects have similar challenges. has been instrumental in organizing the support needed faculties and students from universities, and engineers and Phule Pune University (SPPU), which is a favourite For this very purpose of seamless flow of expertise between for a project of this magnitude. technicians from industry on our campus. We are a very good amongst the students. IUCAA faculty members teach the communities, there is a knowledge cluster being set up in junction to interface with the industry. We also give our A & A optional courses for M.Sc. students of the Depart- Pune. IUCAA is the lead institution for setting up this cluster. As a result of many more such efforts and initiatives, students the skills necessary across a whole range of ment of Physics, SPPU, and about to start MSc and The knowledge cluster will be an interaction between IUCAA has become the centre for space based Astronomy in industry- not just mechanical and electrical engineering, but MTech programmes with SPPU. universities, research institutions and the industry. India. A bunch of theoreticians, observers and technicians also in the data sciences. Several of my PhD students, for LIGO – India (Model) find this place with big ideas. IUCAA has come a long way instance, with their Astronomy degrees are now working in Lastly, what are some milestones in the history of from there to building facilities, strengthening collaborations Finance, Data Sciences and the Software industries. IUCAA? and generating heaps of data. With the help from this data, The story of IUCAA is enmeshed with the recemt we are now proving the theories by those theoreticians. Many What are some existing collaborations that IUCAA is development and growth of Pune City. Pune's first internet more dreams are in the pipeline. proud to be a part of? connection came from IUCAA. We used to provide email and SALT ● For the last five years, IUCAA has been working with internet to the entire region through the ERNET project ISRO to train and help users of their astronomical hosted at IUCAA. The supercomputer system we have is one satellite: AstroSat, parts of which were built by our of the top five in the country. One of the best science libraries scientists in the previous decade. in the country was created here. People from the Universities were given free access to come and work. ● Along with ISRO, we are building an ultraviolet camera (SUIT) under the Aditya – L1 mission: a solar observatory IUCAA has seen quite a few milestones since its dedicated to study the Sun, to be launched within a year. inception in 1988.

14 : OmZodmar 2020 : OmZodmar 2020 15 www.facebook.com/PuneMCCIA www.facebook.com/PuneMCCIA The Data Journey of Automotive Research Association of India Ms. Rashmi Urdhwareshe-Director, ARAI in conversation with MCCIA Team

Established in 1966, ARAI has a 53 year old legacy automotive and related domain research and innovation. It has played a crucial role as a ● Support to the Government of India in coming forward catalyst for growth and development of the auto industry in with policy and regulations Pune, and all over India. In conversation with MCCIA, o Providing research and data required for policy Rashmi Urdhwareshe, Director of this prestigious Intitule development talks about the Data story of ARAI. o Mandatory type approval testing and certification of the automotive components, systems and complete Can you give us a brief about ARAI? How was it set up in vehicles. Government of India has authorized ARAI Pune? What are some key objectives of the institute? for carrying out vehicle testing and certifications for ARAI was established back in 1966, and at that time compliance to national regulations Pune was the undisputed hub of automotive sector. It still ● Consultancy services to Indian and global companies continues to hold that position. Pune also housed the highly ● Skill development for automotive industry by providing skilled manpower required for a project of this magnitude. It graduate, postgraduate level courses and upskilling was established with the aim of supporting the R&D needs of programs for industry professionals. the automotive industry on one side, and mandatory testing and approval needs of the Government of India on the other These are four major industry verticals ARAI specializes side. Therefore it was set up in Pune as a society by the in. Our stakeholders are primarily vehicle manufacturers, Indian automotive Industry with support from government. suppliers, state as well as central government and the society ARAI is an autonomous institute under the administrative at large. control of Ministry of Heavy Industries and Public Enterprises. There are primarily four distinct functions that we What are some key areas of research at ARAI? perform. Our focus area is primarily on the regulation side which ● Research and Development required by the industry for encompasses a wide range of topics related to various reasons such as ● Automotive safety and occupant safety o Product development ● Vehicle and Road Infrastructure interaction o Design enhancements ● Powertrain engineering o Meeting regulatory requirements ● Environment, green mobility o New technologies development for absorption in the ● Smart, sustainable mobility.

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These focus areas lead to further research and and sharing is done digitally. The right infrastructure in terms of information What kind of collaborative efforts is ARAI involved in? developments. Few example, management has the potential to yield us a better life ahead. Are you open to further collaborations with the industry? Lightweight material development, crash compatibility What are some problems faced by ARAI in the data Collaborative working is our strength. Over the years, we and structural development under Automotive & occupant sphere that you would like to address? Can you tell us a little about the Center of Excellence set have built upon our capabilities with help from many strong safety, Alternative fuel options, ambient air quality There are multiple levels of problems. up at ARAI? collaborative efforts. measurement/ control action planning and electric mobility ● Firstly, there are large stakes involved based on our data At ARAI, we work towards delivering complete solutions. On electric mobility front, we have collaborations with the research towards achieving sustainability of energy and information and reports. Hence accuracy of data is Data for automotive, is extremely important for the country. National Chemical Laboratory (NCL); ISRO on battery other resources. paramount. Hence, under this center of excellence we plan to capture all development and several other research labs. We worked Internal as well as sponsored research is continuously ● Privacy and protection is another aspect. We are required these requirements. with Indian Oil Corporation for alternate fuel development. As taken up in these focus areas. to build lots of checks and balances for data generation, We have one Center of Excellence in electric mobility. It is we are venturing into global product designing; there are joint access, storage and retrieval. focused on enabling industry to develop an ecosystem for projects with research organizations and universities What is the kind of data collected to support this ● Technology obsolesce is so fast, that data generated 20 electric mobility. It includes several functions from overseas. research? years ago if required now, we are required to build Component level development, vehicle level development, We are using our website extensively to trigger Being a 53 year old organization, we are sitting on a downward and upward compatibility. Therefore latency testing & certification, infrastructure development and much collaborative efforts. The technologies developed here are goldmine of data. All our projects generate huge amounts of and validity is important. more. Data center would enable us to migrate to higher level opened for interested parties to absorb. We are also part of data from testresults to compliance requirements. While ● If some data related to vehicle type approved 15 years of integration in EV space. the development support that the Ministry of Heavy Industries defining any kind of norms, one has to first know what the ago is required, we would have the data, but to be able to We also excel in interfacing with other domains such as provides. ARAI is identified as a center through which such base line is. Hence, such data becomes extremely important access it, retrieve it, convert it in a valid format is a agriculture, construction, mining and defense. From that research collaborations can be taken up. We are also and vital for setting up next stage norms. challenge. point of view, we are migrating automotive data and providing good incubation possibilities for start-ups and new In addition, we undertake projects related to creation of ● Another challenge is the dependency on equipment knowledge to other sectors. Wherever there is a requirement ideas in need of support. data banks, which support the research and development of manufacturers. Any upgrades and changes in technology of meaningful and knowledge based and decision making, Apart from auto industry, we have some substantive automotive products. For example, when a vehicle is being affect us as well. ARAI is open for collaboration. With this vision for a holistic projects in agriculture, from soil texture assessment to designed, the designer would require a road profile of Indian ● During test and measurement, we are trying to avoid development, the Centers of Excellence have been set up. equipment testing and development. We would welcome all roads. We have created digitized road profiles as an outcome human interference as much as possible. Hence, fool opportunities to collaborate and partner up with other of data collection project and make it available as part of proofing in testing and validation through automation is a industries as well. design inputs.. new challenge. We have also created material data banks as well. Data ● Other non-technical challenges include the legal Lastly, can you tell us some important milestones in this related to ferrous materials, aluminum and other alloys used dichotomy of data privacy vs. public disclosure. We are journey of ARAI? in manufacturing needs be created in a research lab for under obligation to provide information asked from us There have been multiple milestones in this journey designers to be able to make informed and data-based under RTI. However, when it is third party data, we also towards a Golden Jubilee. We started in 1966, without even choices. have obligations of privacy. an office of our own. In early 1970s, we got our own small Another important use of data can be in outlining driving ● Another big challenge faced by not just ARAI, but the office space in Pune city. Finally the land on Vetal Hill was population on the basis of demographics. Certain population automotive industry in general, is that vehicles are allocated to us. We started with one building and kept moving can be shorter in stature, or may have other anthropological designed for better technology, but the infrastructure up with a steady pace. Towards 2010, we took up an peculiarities. These factors should be taken into account development is far behind. This presents a roadblock in How is data utilized in planning for infrastructure expansion of our facilities. Today, within a decade, we now while designing vehicles relevant to local needs. trying to utilize vehicle on-line data to its fullest extent. development for E-mobility? have four different campuses in the city as well in the These examples merely scratch the surface, and E-mobility is the new wave of change. It will be meaningful industrial areas of Chakan and Talegaon . highlight that data is of immense significance in the auto We are looking for ways and means to address some of to plan it efficiently so that the states can arrive at a better grid In terms of innovation as well, there have been several sector. these issues with help from industry partners. distribution. Data plays a critical part in this planning process. milestones. Early in the 70s, we used to perform a road With respect to infrastructure development for E-mobility, worthiness test to certify the vehicle models. Can you tell us a little bit about the data pipeline? How What are some ways in which the data revolution has there are multiple things happening at the moment. First and In 1989 came the Motor Vehicle Act provisions and does the entire process take place? transformed the automotive industry? foremost is the connectivity to power grid. Distribution of CMVR, which required a testing approval by a third party We have over the years, developed competency in terms The Internet of Things (IOT) it the biggest example of electricity is handled by the Ministry of Power. Insight from agency. of manpower, simulation and computing tools. These tools what can be achieved in automation with only a handset. All data is required to plan this power grid efficiently. This was a turning point for us, which enabled us to extract raw data and sanitize it to a large extent. The filtered vehicles can now be tracked and monitored for their annual One also has to be mindful of what is happening on the expand our facilities and first ever emission test facility in the data is then analyzed. For projects such as crash tests, one fitness checks and other requirements. It is possible only user side. All the charging stations are designed to exchange public domain was thus created at ARAI. cannot take a second go at the data. It has to be done first because of data penetration. Vehicles now have a capability information and data, with the vehicle on one side and In 1991, BS emission norms were implemented, which time right. Before even the trigger is pressed, pre-processing to talk among themselves. Vehicle to vehicle, vehicle to grid, infrastructure on the other side. Infrastructure related data led to development of many new products. becomes very important. There is no scope for mistakes. vehicle to road, all kinds of communications are possible. It is helps in power distribution and management. It is also crucial In late 90s, country saw the need for upgrading safety, There are other types of static data which can be differently a huge penetration of information. It is extremely important for from a safety point of view. emission and performance requirements at par with global handled. For example when emission testing is done, vehicle us to capture this information and convert it into knowledge By interacting with the vehicle, a strong user interface can standards. This led to the implementation of several safety is run on a chassis dynamometer and raw data of exhaust which can be used in policy, standards and regulation be built. Through IOT applications, the user could be privy to standards, and a complete turnover to better and stricter emissions is collected. Post processing is done later for such making. For example, when fuel efficiency norms are set up, information such as the current state of charge, availability of regulations. ARAI was also deeply involved in the static data. Over many years, we have established strong one has to look at the current base line with reference from slot and predicted waiting time. We are working on penetration of alternate fuels. We steered these regulations systems here to create, store, retrieve and manage our data. various data sets of ambient air quality; fuel efficiency and development of standardized protocol for this purpose. It will by development of several new powertrain products. many more. All that put together makes it a viable proposal for help in setting up a large scale of infrastructure. These milestones merely touch the surface of what ARAI We depend more on large servers as well as cloud these government to consider. As we are migrating to autonomous This kind of work is being done through our Center of has achieved in 53 years. We hope to add many more laurels days to store our data. Sometimes our clients are from driving, we need to stimulate real life situations, interaction Excellence. to these landmarks in the years to come with our capability of overseas. We need to have data transmission conduits for with road entities, and unplanned movement of entities. That turning data into knowledge!. them to review projects online. In such cases data handling is the kind of direction in which data can be used. ●●●

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computational systems, requiring huge investments. For everyday data collection? Data Management Practices at example, data collection on 100 bulls' progenies, with each A: The problems are mostly related to logistics. The other bull having 100-150 progenies, for a period of 5-8 years problem is that of online system related.. Data loss is also a requires around 10-15crores. problem. There are a lot of human errors which can happen. BAIF Development Research Foundation We have all the checks and controls to get quality data and Q.2 : Could you tell us about the genomic technologies things such as GPS is to track the recording accuracies. We Dr. Marimutthu Swaminathan - Program Director, BAIF Development Research and its application in animal breeding? have 55 recorders recording roughly 5-8 animals every day. Foundation in conversation with MCCIA Team about BAIF's activities in animal A : The application of genomics technology in animal Through our data quality control, we almost take out half of genomics, breeding and its Data Management Practices breeding works initially by combining the phenotype and the data. Even in western countries, 20 percent of data gets genomic information (in the form of Single Nucleotide thrown. Now we are trying GPS enabled weighing machine. Polymorphism – SNP genotypes), and then by using We have people looking at data on a daily basis to check for appropriate statistical modelling, a prediction system is any errors. 90 percent of data collection is from small farmers developed. The future breeding animals could be then having very few cows. We are working with a person from US selected by using this prediction system. To develop who is trying to develop a comprehensive data management prediction the prediction system, large quantity of phenotype pipeline to ensure an automated data QC system. Once we and genomic information is needed so as to assess the have pipelines ready it would be of immense help. genetic merit with better accuracies. a. Globally, the big breeding companies stored the semen and the phenotype Q. 6 : What kind of information does each recorder data was readily available which helped them building collect from the farmers? prediction models pretty quickly.. But in India, we need bith A: The types of data we collect includes animal related data phenotype and genotype data in large numbers to evolve a (e.g. milk yield, fat %, disease incidence, etc.), feeding good prediction models. BAIF is in the process of accom- systems, agro-climatic variables and other environment plishing the prediction system.. Genomic based selection conditions which impacts the productivity of the animals. The and genetic improvement programs can reduce cost, time data collected would thus be able to define a targeted and improve genetic gain in the population in a faster stride genomics based animal selection program appropriate for different production environments. The climate data Q.3 Could you tell us how did this research start? collected is from secondary sources. The rest of the data is A: Application of genomics in genetic improvement is about collected by our recorders. There are different periodicity the research BAIF is involved with. We started it 5 years ago. used to collect data, and the data is collected in a monthly or We needed to sample a lot of population from production bi monthly basis. environments and agro-eco systems, as no records were readily available. For getting accurate information Q. 7: Are farmers willing to cooperate for giving the data? researched different methods, designed an online data A: In most of the circumstances, farmers co-operate with us capturing, storage and data management system. There are considering our long term grass root level relations. We also 55 recorders working on this in 9 different states. On provide certain feedback like providing milk production genomics side, we have genotyped 7000 animals and certificate to farmers that could be used if they want to sell the developed first set of prediction equations.. . After 5 years of cows . The other information collected by us such as feeding, continuous research in collaboration with International etc., also can be used by farmers for other farm management Partners such as University of New England (Australia), decisions. We are looking at developing such an advisory anf University of Queensland (Australia), The French National farers' feedback system using the data collected from the Institute of Agricultural Research (INRA, France) we are farmers. The farmers are also interested in getting these Q. 1 Could you tell us in brief about the latest animal the bulls through this process (called as Progeny Testing) now in a position to have the model which could be applied information . breeding technologies? requires around 5-7 years.. To get high accuracy we need as for the selection of breeding herd. The entire research A : At BAIF, we have a lot of emphasis on male genetic many progenies as possible (at least a few hundred). The program is being sponsored by the Bill and Melinda Gates Q. 8: When this research reaches implementation stage improvement. A cow can produce 4-5 calves in a year. This is genetic merit is assessed using an appropriate statistical Foundation. and how can it benefit the farmers? a biological limitation. In case of a bull, we can make several models suited for specific production environments. We also A: If we look at dairy genetic improvement it is not a quick thousands of doses of frozen semen that we could use it for need to know how a bull performs in different parts of country, Q. 4: What is the constraint faced in terms of expertise? process. For genetic improvement to really impact it takes inseminating large numbers of cows for many years. under various environmental conditions if we need to assess A: Constraint is that of expertise available in India in under- around 10 years or more. What we aim is that, by this Globally there is a lot of emphasis on the male side in genetic the genetic merit across the country. In other countries it's bit standing the Indian dairy production system and evolving an technology the accuracy of selection goes to 60-70 percent improvement using the technologies such as genetic of straight forward unlike in India. The environment and appropriate statistical genomic model that could estimate the which is very good. In future course, as the technology selection of bulls and artificial insemination.. For selecting the production systems are more or less uniform in most western genetic merit of an animal with better accuracies. Similarly, becomes cheaper, we can find ways to assess the genetic bull the accurate data is crucial.. Even though the bull and the countries. In India they vary a lot. Hence, we have to test for the lack of sufficient bioinformatics expertise in handling huge merit of the milking herd at birth for the animals in the farmers' cow are of high genetic quality it is not necessary that the various regions and for this the data sample has to be large. animal genomic data and providing an applicable result for herd, by which he can a make a decision to keep or cull, as the progeny will be of the same quality due to reasons like In Indian conditions, collecting information is also difficult as the downstream application in animal breeding. Very limited dairy animal feeding and management costs are keep random segregation, recombination during meiotic cell farmers have very few cows and hence the recorders need to expertise available in India who have implemented a escalating. Additionally, we are also looking at cheaper division and subsequent random process in fertilization. This go to large numbers of farmers. It's difficult for a recorder to go systematic genetic improvement program in the country in a genomic technologies which could assess the genetic necessitates collecting semen from the test bulls, inseminat- to all the farms to get the desired number of data on the same holistic manner. This necessitates having collaboration with composition of the animals for an informed breeding ing a cow, waiting for the birth of the progenies and collecting day. These are some of the issues which we are trying to the International Universities. decisions, as the present technology is expensive. huge amount of progeny data to assess the genetic address. Modelling the genetic improvement plans requires transmitting ability of the parents Testing the genetic merit of large research and development , data management and Q.5 : What are the problems faced by recorders in Q. 9: When would you be implementing the research?

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A: We have started to implement in our breeding herd, and we are ready to Crucial Role of Data Science at IISER implement the outcomes of the research An Interaction with Dr. M. S. Santhanam – Professor (Physics) and Dr. Pranay in the field selection programs in the Goel- Associate Professor Biology - Indian Institute of Science, Education and coming 3-4 months. Genomic based Research (IISER) Pune methods are in practice globally for the past 10-12 years and we are now having may collect data using sensors. A. That happens all the time. We collect it in India. We are also working on a Depending on the scale of experiment data to validate or invalidate our single multi breed and multi trait Q. 1 How was IISER started? and what we are measuring, there is a hypothesis. We are testing hypothesis selection model that could be used A. There was a feeling that we need huge amount of data, but sometimes it and we collect data to check if we are on across breeds and traits. The impacts institutions which focus on basic can be small as well. Often, we need to the right track. What has been different of this technology are expected in the science and blend both education and do processing further. If our measure- in last few years is the idea that you can next 4-5 years. But this is a highly data research. IITs mostly focus on technol- ments are images, those could be few create artificial intelligence systems that intensive and computational demanding ogy. They are also focused more on megabytes each, but if there are large learn from data and can sometimes do system, and therefore more the data teaching than research. Here in IISER number of images, then the data can as well as humans. From the mathemat- across all production environments and the aim was to have high quality science multiply quite rapidly. Another huge ical perspective, we like to break things a well-researched genetic models education blended with research. The source of data is from computer down in algorithms and know what the means better and faster genetic mia, Industry, N G Os, Research ●●● definitive proposal for the creation of the simulations. The data source invariably algorithms are doing and exploit them improvement in the future dairy animal organizations and Universities across IISERs came from the scientific depends on requirements, on what data better. population. This requires joint efforts of India, with a regular advisory from advisory to the Prime Minister probably we need for the task at hand. all stakeholders at all levels of Acade- International expertise. around 2004-2005. Based on this Q.7 How has your use of different recommendation, first two institutions Q. 4. Could you share some of the methodologies changed in the past were set up, one in Pune and the other in problems you faced with your data? 15 years? Kolkata. The driving principle is that A. From a scientific point of view, what A. We certainly continue to use the people who do research would also we need is better resolution. Essentially, methodologies that form the fundamen- teach the graduates, undergraduates this is a technology problem. Sensing tal basis for understanding nature from and others. So that students get a bigger smaller magnetic fields, pressure, first principles. On the other hand, we perspective that touches upon on noting small changes in temperature have started to augment them with research. In IISER there is an option for etc. is what we want. So, we wonder - some newer technologies such as students to drop a classroom course can we do better with technology ? machine learning, artificial intelligence and instead do a research project. Their Once we have better or high resolution and statistical learning. These have entire fifth year is devoted to research. sensors, there will be huge amount of shown success in lot of examples. We There is more emphasis on learning and data and then we should know how to want to know what we can we learn from doing things through research. handle and store data. Clearly handling both new and old methods. At any given data is important. Finally, knowing what time we are at the forefront of handling Q.2 Can you tell us about the role of we want to learn from the data is most data. If we have high resolution data, the data in your work? important. In biomedicine there are also we are able to probe our systems of A. We look at data at various levels. We ethical concerns one should think about. interest even better. The basics of get data from doing experiments, for What is important is how do we extract science don't change that easily, it is instance, when looking at organs, other information from the data. We need to only our capacity to handle information tissues, etc. when it comes to bio ask methodological questions: how and extract information that has medicine. Certain times we have to look should one construct statistical, changed rapidly. Getting more informa- at data as an organism, all talking to mathematical, physical, and machine tion can help advance insights rapidly. each other. We also look at data at the learning models, to derive useful population level, e.g:, the population of insights from the data. Q. 8 Can you tell us about Centre for people affected by diabetes. There is Data Science? data collected at various levels for Q.5 Do you run simulations for data A. This is a new initiative at IISER, Pune analysis. Ultimately, we build theories collection in bio medicine? after a need was felt to have a Centre for based on data as our work is not limited A. Simulations are part of the methodol- Data Science as data science problems to just collecting data. In an ideal sense ogy to get insights from the data. For have come to the forefront in recent we want to build biological or mathe- example, there are simulations to find years. Hopefully we might also have a matical models starting from data. We appropriate drug targets for various Department of Data Science soon. use different tools for extracting data. diseases. Simulations also help decide There is a lot of interest among students if artificial pancreas could be of use in a in learning artificial intelligence, Q.3 What kind of data is collected? particular patient. Simulations have a lot machine learning, etc. We can take our A. In physics, the data is largely of role to play in every area of sciences. core capacities in science and augment experimental, often collected in a them through the Centre for Data laboratory setting. However, data is also Q. 6 Has any piece of data changed Science. We are also privileged to have collected in the field, for instance, one your perspective or led to a different the National Supercomputing Mission route? Param Brahma established here which

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would add to our tools for data science. academia. Data availability can lead to but insights have to be obtained from many services around it, for instance, that as well. Some methodolgical tools Perspectives by First City Data Officer of Pune Municipal Corporation Q. 9 Can you tell us about areas in the example of reservation predictions are better suited to large datasets, your fields where industry could in IRCTC. There can be apps or others are more appropriate to small Anita Kane in conversation with MCCIA Team participate or collaborate? products developed with data availabil- datasets; as researchers we have to In today's disruptive, dynamic and intensive What were some of the first few things you did A. We are very interested in having ity. make conscious and judicious choices world, data has become an indispensable part of after your appointment? partnerships with the industry. We in selecting our methods. decision making. With this very aim of imbibing a My work is all about data driven innovation now. believe that scientific entrepreneurship Q. 10 Can you give example of data culture in governance, a dedicated City data But the first phase of my appointment revolved should grow. We are good at basic collaborations in Physics ? Q.11 Can you tell us about mile- officer was appointed in the city of Pune. Ms. Anita around setting things in place, so that such science but we are not good at the A. There are many examples of large stones of IISER? Kane was the first to serve the title. In conversation innovation could be possible in future. business side of things. So we also need physics collaborations. Few years back A. IISER, Pune is one of the most with MCCIA, she recounts learnings and I focused on two areas to start with - to learn scientific entrepreneurship. We Higgs boson was observed and later sought after institutions and we are in experiences from her deeply meaningful journey as ● Standardizing Data Sets and publishing also feel that industry should engage Nobel prize was given for that. That was the top 20 in the world in the list of the first City Data Officer of Pune. them on the open data portal with us. If there is any potential scientific a huge collaboration. One of the emerging institutions. In the Nature We first defined the standard data sets that had idea that could be monetised by having persons who discovered it in 1960s was index which measures research output, You are the first to hold the role of a city data to come from each department. a business perspective added to it, we a theoretical physicist. In CERN IISER is in the top three within India. officer. What is the story behind the creation of this It was important to collect meaningful data sets. It was an are very happy to help develop it. We Geneva, huge amount of data is designation? arduous task. There was no process for reporting data at are also conscious of the social aspect generated when the accelerator runs. Q. 12 What do you like about IISER? It started back in 2016, when the Data Driven specific time intervals with specific attributes, so data of what we do, whether in healthcare or There is a worldwide collaboration built A. The academic freedom to do what we Governance (DDG) group of TATA Trust started looking for consolidation became difficult. Revenue systems such as ways and means to inculcate a data culture in Indian Cities. property tax, building permissions are fully automated and city planning, such as traffic issues. We around it. It has been going on for want. There is absolutely no limit to what With this very quest, they tied up with World Council for City have good quality of data. For other departments, it is a would like to have engagement with decades. For such data intensive areas, can be done. This is what differentiates Data, which awards a prestigious international standard to manual process / interface with minimal traceability. While society in general. We would like to machine learning and data science tools IISER from some other institutions select cities – The ISO 37120 Certification. This standard defining standards, the units were also important. We would invite others to come and participate in come in. NCRA in Pune also generates where there are specific research goals. aims at measuring a city's social, economic and sometimes receive data only in the form of numbers without our programs. We conduct many events huge amount of data from their tele- There is freedom to explore what one environmental performance across 100 indicators. any units. Minute issues like these had to be tackled first, to and we would also like to connect with scopes. Filtering data by using algo- finds interesting. There is an excellent TATA Trust approached a number of cities in India to streamline the entire process. It took six months, but we the business community. Data science rithms is important. When an experi- pool of some of the best students in the participate in this certification. Mr. Kunal Kumar was the started getting some good pieces of information. The is often industry driven. We might be ment is running, we want to decide if country and hence we can have small Municipal Commissioner of Pune at that point. He took a keen challenge was to then remain consistent. able to help with algorithmic aspects. everything is going in the right direction. projects and we get to experiment a lot. interest in this initiative. A rigorous process of data collection ● Training and Capacity Building Ultimately, there has to be real-life Data science can make quick decisions This freedom and ecosystem helps us was kick started in the city. 100 Metrics were identified along PMC staff understood the data but they were poor on the problem statements put out before the on-the-fly based on in coming data. In try out and implement new ideas quickly. varying themes from water supply, sewage management to aspects of data privacy norms, validation, triangulation and academic community for fruitful our research, the amount of data education, finance and much more. PMC became the nodal traceability. Capacity building exercises were aimed at interaction between industry and generated is sometimes much smaller, agency to collect this data. The efforts were rewarded in improving on those fronts. The training talked about how the 2017, when Pune became the first city in India to be awarded data was being used, what the commissioner would draw Platinum in the ISO 37120 certification. from it, how the central government looked at it. This created a deeper understanding of what actually happened to data. It How did this lead to the decision assigning a dedicated helped in creating motivation to work on quality data sets. City Data Officer? Early in 2017, Pune secured a place amongst top global How did the Open Data Program lead to citizen cities in the world with a platinum ISO certification from engagement? WCCD. This led to a dialogue between Tata Trusts and Mr. The whole purpose of the Open Data Program is citizen Kunal Kumar regarding the long term implications of this engagement. We wanted to get the common man to interact landmark. The seed of data standardization and data culture with data. The Open Data Hackathon became an important that was sown with this certification, had to be driven forward. tool in that regard. With the help of some open data Tata trust and PMC put their heads together, and came up enthusiasts, we created the infrastructure for a Hackathon with the idea of appointing a City Data Officer for the cause. which citizens could participate in. The open data Hackathon was conceptualized as an How did your appointment take place? event where problems & challenges faced by the city are When Mr. Kunal Kumar interviewed me for the position, presented to the participants. The Hackathon participants are he told me, then expected to develop the solution to these problems “I want a city data officer to improve the data culture in using the data available on the Pune open data portal. Pune, but I cannot help you with anything more. This is a high We noticed a large gap in terms of technical knowledge level idea. You need to convert it into a program and execute and domain understanding; hence 50% of the Hackathons it.” included hands on training on some useful tools in data One of his only questions to me was if I can work with extraction. During the Hackathon, one student developed an these vague guidelines and convert them into implementable innovative app which helped parents find suitable schools for objectives. their children. It served as an inspiring example of how data in Being the first initiative of its kind, the ideas were a little the hands of well-meaning citizens can help solve real world broad. I accepted the position and acted as the person on problems. ground. My appointment was done on the premise that I had Along with initiatives like this, we started presenting our to give shape to the entire program. data sets with a brief analysis, so that common citizens could comprehend it.

24 : OmZodmar 2020 : OmZodmar 2020 25 www.facebook.com/PuneMCCIA www.facebook.com/PuneMCCIA would add to our tools for data science. academia. Data availability can lead to but insights have to be obtained from many services around it, for instance, that as well. Some methodolgical tools Perspectives by First City Data Officer of Pune Municipal Corporation Q. 9 Can you tell us about areas in the example of reservation predictions are better suited to large datasets, your fields where industry could in IRCTC. There can be apps or others are more appropriate to small Anita Kane in conversation with MCCIA Team participate or collaborate? products developed with data availabil- datasets; as researchers we have to In today's disruptive, dynamic and intensive What were some of the first few things you did A. We are very interested in having ity. make conscious and judicious choices world, data has become an indispensable part of after your appointment? partnerships with the industry. We in selecting our methods. decision making. With this very aim of imbibing a My work is all about data driven innovation now. believe that scientific entrepreneurship Q. 10 Can you give example of data culture in governance, a dedicated City data But the first phase of my appointment revolved should grow. We are good at basic collaborations in Physics ? Q.11 Can you tell us about mile- officer was appointed in the city of Pune. Ms. Anita around setting things in place, so that such science but we are not good at the A. There are many examples of large stones of IISER? Kane was the first to serve the title. In conversation innovation could be possible in future. business side of things. So we also need physics collaborations. Few years back A. IISER, Pune is one of the most with MCCIA, she recounts learnings and I focused on two areas to start with - to learn scientific entrepreneurship. We Higgs boson was observed and later sought after institutions and we are in experiences from her deeply meaningful journey as ● Standardizing Data Sets and publishing also feel that industry should engage Nobel prize was given for that. That was the top 20 in the world in the list of the first City Data Officer of Pune. them on the open data portal with us. If there is any potential scientific a huge collaboration. One of the emerging institutions. In the Nature We first defined the standard data sets that had idea that could be monetised by having persons who discovered it in 1960s was index which measures research output, You are the first to hold the role of a city data to come from each department. a business perspective added to it, we a theoretical physicist. In CERN IISER is in the top three within India. officer. What is the story behind the creation of this It was important to collect meaningful data sets. It was an are very happy to help develop it. We Geneva, huge amount of data is designation? arduous task. There was no process for reporting data at are also conscious of the social aspect generated when the accelerator runs. Q. 12 What do you like about IISER? It started back in 2016, when the Data Driven specific time intervals with specific attributes, so data of what we do, whether in healthcare or There is a worldwide collaboration built A. The academic freedom to do what we Governance (DDG) group of TATA Trust started looking for consolidation became difficult. Revenue systems such as ways and means to inculcate a data culture in Indian Cities. property tax, building permissions are fully automated and city planning, such as traffic issues. We around it. It has been going on for want. There is absolutely no limit to what With this very quest, they tied up with World Council for City have good quality of data. For other departments, it is a would like to have engagement with decades. For such data intensive areas, can be done. This is what differentiates Data, which awards a prestigious international standard to manual process / interface with minimal traceability. While society in general. We would like to machine learning and data science tools IISER from some other institutions select cities – The ISO 37120 Certification. This standard defining standards, the units were also important. We would invite others to come and participate in come in. NCRA in Pune also generates where there are specific research goals. aims at measuring a city's social, economic and sometimes receive data only in the form of numbers without our programs. We conduct many events huge amount of data from their tele- There is freedom to explore what one environmental performance across 100 indicators. any units. Minute issues like these had to be tackled first, to and we would also like to connect with scopes. Filtering data by using algo- finds interesting. There is an excellent TATA Trust approached a number of cities in India to streamline the entire process. It took six months, but we the business community. Data science rithms is important. When an experi- pool of some of the best students in the participate in this certification. Mr. Kunal Kumar was the started getting some good pieces of information. The is often industry driven. We might be ment is running, we want to decide if country and hence we can have small Municipal Commissioner of Pune at that point. He took a keen challenge was to then remain consistent. able to help with algorithmic aspects. everything is going in the right direction. projects and we get to experiment a lot. interest in this initiative. A rigorous process of data collection ● Training and Capacity Building Ultimately, there has to be real-life Data science can make quick decisions This freedom and ecosystem helps us was kick started in the city. 100 Metrics were identified along PMC staff understood the data but they were poor on the problem statements put out before the on-the-fly based on in coming data. In try out and implement new ideas quickly. varying themes from water supply, sewage management to aspects of data privacy norms, validation, triangulation and academic community for fruitful our research, the amount of data education, finance and much more. PMC became the nodal traceability. Capacity building exercises were aimed at interaction between industry and generated is sometimes much smaller, agency to collect this data. The efforts were rewarded in improving on those fronts. The training talked about how the 2017, when Pune became the first city in India to be awarded data was being used, what the commissioner would draw Platinum in the ISO 37120 certification. from it, how the central government looked at it. This created a deeper understanding of what actually happened to data. It How did this lead to the decision assigning a dedicated helped in creating motivation to work on quality data sets. City Data Officer? Early in 2017, Pune secured a place amongst top global How did the Open Data Program lead to citizen cities in the world with a platinum ISO certification from engagement? WCCD. This led to a dialogue between Tata Trusts and Mr. The whole purpose of the Open Data Program is citizen Kunal Kumar regarding the long term implications of this engagement. We wanted to get the common man to interact landmark. The seed of data standardization and data culture with data. The Open Data Hackathon became an important that was sown with this certification, had to be driven forward. tool in that regard. With the help of some open data Tata trust and PMC put their heads together, and came up enthusiasts, we created the infrastructure for a Hackathon with the idea of appointing a City Data Officer for the cause. which citizens could participate in. The open data Hackathon was conceptualized as an How did your appointment take place? event where problems & challenges faced by the city are When Mr. Kunal Kumar interviewed me for the position, presented to the participants. The Hackathon participants are he told me, then expected to develop the solution to these problems “I want a city data officer to improve the data culture in using the data available on the Pune open data portal. Pune, but I cannot help you with anything more. This is a high We noticed a large gap in terms of technical knowledge level idea. You need to convert it into a program and execute and domain understanding; hence 50% of the Hackathons it.” included hands on training on some useful tools in data One of his only questions to me was if I can work with extraction. During the Hackathon, one student developed an these vague guidelines and convert them into implementable innovative app which helped parents find suitable schools for objectives. their children. It served as an inspiring example of how data in Being the first initiative of its kind, the ideas were a little the hands of well-meaning citizens can help solve real world broad. I accepted the position and acted as the person on problems. ground. My appointment was done on the premise that I had Along with initiatives like this, we started presenting our to give shape to the entire program. data sets with a brief analysis, so that common citizens could comprehend it.

24 : OmZodmar 2020 : OmZodmar 2020 25 www.facebook.com/PuneMCCIA www.facebook.com/PuneMCCIA

What are some other Ecosystem partners in the sphere this calculation, corporation opened a Neonatal Care facility of data? How did PMC engage with them under your for those who couldn't afford it. tenure? Ecosystem Partner Engagement plays a crucial role in How did your work in Data evolve over the years? After driving the data culture forward. PMC does not have a the base was set, what did the second phase of your term research and analysis wing – our role is limited to production revolve around? of data. It then falls in the hands of the academia to apply it in Early in 2019, we decided it was time to move beyond just a meaningful way. data collection. We wanted to shift the focus on data driven One of the early wow factors came from the Department innovation. A large sample of draft data about 32L trees had of Statistics, University of Pune. We had approached the Vice just been released under the Tree Census. We had Chancellor for a possible collaboration. Department of brainstorming sessions with some NGOs and ecosystem statistics took it up and identified some key areas - noise partners around the real world implications of this data. A pollution, air pollution and water pollution. They published possible set of challenges were framed which could be student research papers based on real time data gathered in solved using the information. For example, the data around these areas. One of the papers won an award for best fall of the trees had implications in solid waste management. research paper at an IEEE conference. These kinds of A comprehensive plan for plantation of the next set of trees collaborations created a confidence within the community on could also be devised based on this vast data. Which area the importance of data. Our hunger has now increased for can accommodate the next set of 10,000 trees? Which many more. species should be selected? What would be the impact of this plantation on the air quality after 10 years? What would be the Does PMC have dashboards created where Data from ideal 'root to shoot' ratio? Such problems were framed and various departments can be collated? How is it useful? given as projects to the University of Toronto. There are plans The Interdepartmental dashboard initiative was taken of conducting a joint project with IIT Bombay, University of very seriously by Saurabh Rao, Municipal Commissioner, Toronto and Pune Smart City, which will look at solving some Pune. He decided that internal review during departmental of these issues related to traffic and tree census. meetings would be conducted through a common dashboard. This gave HODs a motivation to keep reporting What can be the role of corporates in carrying this data regularly. It also created an Inter departmental mission forward? validation, since the data had to be verified for the review. When it comes to data driven innovation, there is a The Pune Open Data Portal has achieved a degree of research angle and an implementation angle. The role of success as well. We have 450+ data sets on the portal, and corporates is crucial at each stage, since they have the the average download rate has now gone up to 200+ means and resources to implement both. With this very downloads per day. This is a sign that the data is meaningful insight, we had a meeting with Mr. Anand Deshpande of with real world applications. Persistent to look at possible collaborations. Persistent has a training period of three months for their employees. Together, Where does Pune stand in this whole scenario? we decided that one batch of trainees would be given real The Smart Cities mission carried out a nationwide world problems based on our data. This transformed into a assessment on data maturity and Pune definitely stands in corporate Hackathon wherein issues of air quality, citizen's top three. Over and beyond data creation, the kind of health meter, Traffic Management and Citizen Complaints engagement we have with citizens and academia is Analysis were pondered over. The proof-of-concepts unprecedented. presented were impressive. Such successful collaborations encourage PMC to partner up with Corporate CSRs to make Data Success Stories a real impact. Water Supply Statistics There was a court directive to put out the data for water Where do you think the future of Data lies in the city? supply in the open domain. When other Municipalities had to How can data shape a better future? create separate portals for the purpose, PMC had an existing To be honest, role of the City Data Officer is grounded in mechanism of the Open Data Portal. The Water Supply the present. That does not however stop one from dreaming Statistics could seamlessly be conveyed to citizens of Pune. for the future. If I had to imagine an ideal world engulfed in Property Tax Collection data, my vision for the next five years would be this: - End of the financial year, the Tax Revenue Department was Majority systems in PMC would be completely looking for interactive and impactful advertisements to nudge automated. The academia would be focusing on city's people into timely payment of Property Tax. We realized that problems through data, and the common citizen would be nothing sticks as much as real numbers. Promotional posters aware of the functioning of the city through intermediaries. were created using the available data on Tax Revenue such Suppose if the Waste Collection Van doesn't arrive one day, as, citizens should get a notification through an app. Data has the “1.5 L people have already paid Property Tax, When will you power to improve each function of the city. If the citizens, do it?” academia and corporates join hands together with PMC, Neonatal Care Facility there are countless possibilities of meaningful change. 9000 childbirths take place in PMC hospitals every year. ------Premature births need additional facilities as the babies need Anita Kane Served as First City Data Officer of Pune to be put in an incubator. Our analysis revealed there was a Municipal Corporation. requirement of a Neonatal Facility with 48 beds. Based on email : [email protected]

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quick and speedy growth of such data, Big data are created from myriad ability to provide information and Data Science & Analytics : An Overview deliverables must be studied and domains; business intelligence, Spatio- knowledge of value, upon which to base presented to manage and distillate temporal, healthcare and medical decisions. The managerial decision- Sunil Kapadia value and knowledge from these records, online newspapers, social making process has been an important datasets. Moreover, decision-makers networks, and renewable energy. Big and thoroughly covered topic in must be able to acquire valuable data originate modern undertakes for research throughout the years. Big data perception from such diverse and swiftly data storage, processing models, is becoming an increasingly important changing data, varying from daily analysis and visualization of such asset for decision-makers. Large transactions to customer interplay and immeasurable data size internally volumes of highly detailed data from social network data. Such value can be acknowledged the time that can be various sources such as scanners, presented manipulating big data attained with classic computational mobile phones, loyalty cards, the web, analytics, which is the application of structure. This is on account of the most and social media platforms provide the advanced analytics techniques on big distinguished 4Vs; opportunity to deliver significant data. (i) Veracity, which describes to the benefits to organizations. unsystematic and the poor standard Data volume is the key characteristic of data that can be observed in This is possible only if the data is of big data. Big data can be calculated colossal data sets, impacting the properly analyzed to reveal valuable by size in TBs or PBs, also even the processing of data insights, allowing for decision-makers to number of records, transactions, tables, (ii) Volume, which specifies trading with capitalize upon the resulting opportuni- or files. Besides, one of the things that a massive amount of data concern- ties from the wealth of historic and real- make big data big is that it's coming from ing petabytes scale accumulations. time data generated through supply a significant diversity of sources than (iii) Variety, where the classification of chains, production processes, customer e v e r b e f o r e , i n c l u d i n g l o g s , big data belongs to structured, semi- behaviors, etc. Moreover, organizations clickstreams, and social media. Utilizing structured, or unstructured data. are currently accustomed to analyzing these sources for analytics means that (iv) Velocity, which denotes to the speed internal data, such as sales, shipments, ordinary organized data is presently of data creation or how fast the data and inventory. However, the need for united by unstructured data, such as are required for processing to meet analyzing external data, such as text and human language, and semi- the demand. customer markets and supply chains, structured data, such as eXtensible has arisen, and the use of big data can Markup Language (XML) or Rich Site Data Mining Model provide cumulative value and knowl- Summary (RSS) feeds. There are also To corroborate purposeful data edge. With the increasing sizes and Evolution and Importance of Data Through/non-follow-through appraisal tional software for the probing, preser- data, which is tough to classify as it mining results, it is obligatory to types of unstructured data on hand, it The foundation of science is data that formed the basis of Ed Rhodes' vation, and analysis of data. Its comes from audio, video, and other comprehend the data being processed. becomes necessary to make more and it is quite true that without data there thesis and was printed in Management conversing usually presents a wide devices. Additionally, multi-dimensional To accomplish a prosperous data informed decisions based on drawing cannot be any science. E.g. collection of Science in 1981. scope of language to aid all users--from data can be extracted from a data mining model, there are fundamental meaningful inferences from the data. available and required information clerk to a data administrator. Superficial warehouse to add traditional circum- stages to proceed as narrated in the inquiring into the nature gathered by Studies contrasting the different data-processing techniques have stance to big data. So, with big data, summary: Advanced Analytics & Artificial way of observation and experiment is DEA models (Ahn et al. 1988a; Charnes developed into a class of state of the art, diversity is entirely as large a volume. ● Problem definition Intelligence (AI) part of data related to a scientific inquiry. et al. 1990d; Epstein and Henderson superficial software systems, one of a ● Preliminary implementation plan It's no secret that organizations have Publicly registered data facilitate clear 1989; Fare et al. 1988~; Seiford and kind is the database management Of late big data have become a ● Data gathering & preparation been increasingly turning to advanced science, with superior fallacy inspecting Thrall 1990) presented a structure for system. The hypothesis of database catchword/slogan, which mandated the ● Prepared data analytics and artificial intelligence (AI) to and confirmation of results. understanding implied assumptions and mechanism and instituted some of its researchers to enlarge the prevailing ● Model formulation improve decision making across requirements. DEA is now accepted as purpose/goals: data mining techniques to manage with ● Model evaluation business processes—from research The wide scope of possible use and a flexible and constructive tool for data ● to form a unified collection of data the advanced nature of data and to and design to supply chain and risk re-use of registered data talk to a group analysis and is frequently used as an accessible to a broad spectrum of expand new analytic techniques. Big Stages of data formation - a data management. Along the way, there's of prospective users together with the investigative technique for envisaging users; data analytic techniques are helping mining model been plenty of literature and executive original collectors of data, their partners, the data. Applications are often wide- ● to supply for standard and unifica- numerous domains. Data mining is the Ø Data mining tasks hand-wringing over hiring and deploying associates, students, funding councils, ranging, requiring outstanding compu- tion of the data; procedure of examining data sets in (I) Optimization ever-scarce data scientists to make this reviewers, the government agencies, tational power, and a versatile user ● to secure retention of privacy by way innovative ways to discover unsus- (ii) Predictive happen. and the general public. interface for data management and of security control inside the system; pected connections. The connections ● Classifiers Ensembles model management has become as and and synopsis obtained employing data ● Classification Certainly, data scientists are Data Analysis (Data Envelopment crucial as the powerful and perfect ● to permit centralized command of mining are frequently cited to as models ● Regression required to build the analytics mod- Analysis – DEA) optimizer. the database, which is imperative for or templates that pull out implied, (iii) Descriptive els—largely machine learning and, The first printed report narrating the systematic data administration. unspecified and potentially useful ● Rough sets analysis increasingly, deep learning—capable of methodology and labelling the viewpoint Database Management System information from data. This is needed to ● Association mining turning vast amounts of data into as data envelopment analysis(DEA) (DBMS) Big Data &Data Analytics forecast future movement and behav- ● Clustering insights. More recently, however, was Charnes, Cooper, and Rhodes A database management system In the information era, immeasur- iors, to make proactive decisions, and to ● Anomaly detection companies have widened their (1978b). The majorly note worthy (DBMS) is a superficial and approxi- able amounts of data have become respond to commerce queries that aperture, recognizing that success with development in advancing applications mate tool for exploiting huge databases; obtainable/accessible on hand to ingest excessively plentiful time to From the decision maker's perspec- AI and analytics requires not just data at this time was the Program Follow- it is made available by way of excep- decision-makers. On account of the answer. tive, the significance of big data lies in its scientists but also entire cross-

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28 : OmZodmar 2020 : OmZodmar 2020 29 www.facebook.com/PuneMCCIA www.facebook.com/PuneMCCIA Anecdotes from My Corporate Journey as a Manager –Vishwas Datye

functional, agile teams that include data 4. Validating and deriving business International Publishing, Switzer- engineers, data architects, data- implications land. visualization experts, and— perhaps Translator synthesizes complex 3. Michael C. Whitlock, (Feb-11). Data most important—translators.Given the analytics-derived insights into easy- archiving in ecology and evolution: These days, when we hear the word based Management Style and its tion about the problem. They are diversity of potential use cases, to-understand, actionable recom- Best practices. Cell Press & DATA, we automatically think of relevance?” Such questions are good opinions or beliefs. What can one do translators may be part of the corporate mendations that business users can Elsevier. Vol. 6 No. 2 something connected with software or memory joggers. with opinions? They can only create strategy team, a functional centre of easily extract and execute on. 4. Lawrence M. Seiford, (1996). Data the Information Technology world. arguments and misunderstandings. The excellence, or even a business unit 5. Implementing the solution and envelop analysis: The evolution of Actually, as we all know, data means “Nilay, Now that you are asking me, only way to check whether the com- assigned to execute analytics use executing on insights the State of the Art (1978 – 1995). any raw unprocessed information. This let me share with you a relevant case plaints were genuine or not was to look cases. Translator drives adoption among The Journal of Productivity Analysis, data can be used for analysis, to in turn which is well etched into my mind. at the quality check records of the business users. 7, pg. 99 -137 lead to actions and results. It is some- production department. The production At each step of the analytics 5. James P. Fry, (1976). Evolution of what undesirable situation that most I was visiting a rubber products operators were supposed to measure initiative, the 'translator' has an Translators bring a unique skill set to data-base management systems. data collected rarely gets analised. As a manufacturing factory who had invited certain specifications every half an hour important role to play. help businesses increase the 'return on Association for Computing Machin- result, managers tend to depend on me as a quality auditor and adviser. to see if those are within the specified investment' for their analytics initiatives. ery, Washington. conventional wisdom or opinions thus While going through their customer tolerances. If not, the process was to be 1. Identifying and prioritizing They're instrumental in identifying, from 6. Dina, Sherin & Nagwa, (Jun-16). leading to lower probability of correct complaints record, I saw that their client corrected then and there. business use cases the myriad possible opportunities, The evolution of data mining decisions. The proper process is - was facing lot of quality related com- Translator works with business-unit which are the right opportunities to techniques to Big data analytics: An collect truthful data, methodically plaints on one of their products. The Nilay, from my experience, I had leaders to identify and prioritize pursue, and they can help ensure that extensive study with Application to analise it, arrive at knowledgeable production of that component was learnt to see through any data by sight. I problems that analytics is suited to all participants, from data professionals Renewable Energy data analytics. conclusions and decisions, leading to running in all three shifts, 24 hours a politely requested for their internal solve. to business executives, work in Asian Journal of Applied Sciences better results. That is effectiveness. day. quality check records. After some initial 2. Collecting and preparing data harmony to realize the promise these Vol. 4 Issue 3 reluctance, I was shown several signed Translator helps identify the technologies offer. Now that I am in my retirement The owners told me, “we have very data sheets, one sheet for each shift. All business data needed to produce ------phase, on many occasions, some of my stringent checks on all parameters of process specifications have some the most useful insights. Bibliography & Reference: Sunil Kapadia younger colleagues do drop in for a that product. The customers are not amount of random variation, piece to 3. Building the analytics engine 1. (July-19). Analytics-Translator : The Consultant and Trainer ZED, Finance casual chat. On one such occasion, right and they have a tendency of piece or time to time. I noticed that Translator ensures the solution new must have role. McKinsey. and Investments Nilay [pronounced Niloy] dropped in. complaining unnecessarily.” records of first and second shift solves the business problem in the 2. Nanda & Ahmed, (2014). Big Data Email : [email protected] After some general talk, he asked me, measurements were showing some most efficient and interpretable form Analytics: A literature review paper. “Boss, can you share with me some These qualitative statements of the such random variations. But the sheets for business users. GUC, Cairo, Egypt & Springer experience on usefulness of 'Data- Owner could not give me any informa- from third shift at night were showing

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consistently identical measurements Nilay, this was a small case of 'data reducing confusion and errors. E.g. without any random variation. Although based management'. One must use This thing is too large This plate all measurements were shown to be truthful data to arrive at conclusions. needs to be exact 8 inches long and 4 within specifications, those were without You will recall,during my days as a inches wide any random variation. This could not be manager, how much I used to insist on We will meet tomorrow You and I true. In this case data was available but truthful data. Incorrect data can lead to will meet tomorrow from 1400 to 1630 fabricated. I informed the Owner that in incorrect conclusions. It is like walking hrs, in my office the night shift the operator seems to be on water or quick sand.” I need some help Starting next either over confident or plain lazy and is week, I need 2 helpers for 2 weeks filling the measurement charts without Nilay thanked me and left. I am sure T h i s m a c h i n e i s u n r e l i a b l e Industry 4.0, is the new buzz word on towards data exchange and automa- Before getting into further details, let actually measuring the products. he had picked up some useful points to This machine has broken down 3 times the block. The term is a subset of the tion. Like steam powered the industrial us talk about some Bollywood for a become a better manager. in last 5 days larger encompassing concept of the revolution, data and automation will while. While watching the recently The owner said, “This is not I am running fever I am running fever forth industrial revolution ( or 4IR as it is drive this one. released, Arjun Kapoor and Sanjay possible. I trust my operators. Also we Truthful Data being objective, helps of 103 degrees [ serious ] fondly called) which is built on political, DuttstarerPanipat, viewers are taken have excellent work discipline.” to keep opinions and beliefs at bay. Let us improve quality social, economic, cultural disruptions For the interest of the reader and through a ride of great visual experi- Opinions are subjective and as such are Let us reduce rejection level from mainly based widespread availability of scope of this article let us talk about how ence, backstory narration, smart How could I challenge such subject to multiplicity and arguments. 2% to 1 % by end of this quarter digital technologies and is centered data science (spatial data in particular) context build up all while witnessing a opinions? Finally, by staying back late, There are several techniques for data No wonder, during the process of towards converging digital, biological, assists in improved governance, public story of valor and betrayal. What many we met the night shift operator. After analysis e.g. 7 problem solving tools, any problem solving, one of my own physical and spatial innovations. Those life and agriculture. Let us use this viewers must have also observed that some cajoling and assuring that there new 7 tools, Design of Experiments bosses used to say “In GOD we trust, are a lot of complicated words, which interaction to talk about a few case the movie uses maps, animations, won't be any punishment, he confided [DOE], Statistical tools etc. rest must bring data!” can really be condensed to a simple s t u d i e s o f c o m p l e t e d p r o j e c t location understanding to drive through that he believes that the process is quite concept that the fourth revolution will be Vasundharaa Geo Technologies has the narration around the planning, stable and there is no risk if he takes Insisting on data based manage------based on inter related, cross linked data executed that have changed the way execution and final face off of the most some short cuts to avoid work. As a ment also reduces managerial bluffing Vishwas Datye points, collection of such datasets, stakeholders use and visualize data. It legendary third battle of Panipat. Not result, he was filling the charts by just or cover ups. It improves transparency (Business consultant, facilitator and analysis of those using serious has been widely accepted and observed only does the movie use these tools for duplicating the entries without actually and clarity. executive coach with Pragati Leader- computation and optimizing every that geo-spatial data and analytics have better understanding, but both the doing the measurements. He apolo- ship Institute, Pune) single aspect of our living. For the developed in much isolation as protagonist and the antagonist and gized and promised to work as per Data based language is called 54, Mayur colony, Kothrud, Pune industry then, it means generation and compared to conventional data everybody around them keep referring specified method. The owner got Quality Language. By providing 411038 exchange of data between the manufac- analytics and main stream IT. This is to to different maps for planning their siege convinced about the power of data and additional data one can be very specific [email protected] turing and process by means of be changed, overhauled or just routes, formations and strategies. It its analysis. Soon, the problem faced by and convey exact meaning in communi- [email protected] automated sensors, automated analytics just needs to be made more makes one wonder how important customers vanished. cation. Quality language is not subject to Mo: +919850035362 analysis of data and generating insights inclusive. location of something is for planning multiple interpretations and helps in real time. In short, industry 4 tends anything, one doesn't need to be

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planning battle formations, getting your happening in individual farmlands and burn area vectors and understanding Image 3 & 4 UBER on the correct location without any discrepancy was detected and the extent of the burn area. This vector much of a hassle also needs very strong flagged automatically. This project was extraction can be done using satellite location data. a part of a larger academic study imagery, but needs to be done using undertaken in the area and automated algorithms operating on cloud comput- All data points, be related to air analytics eased the process of correla- ing systems and running without any pollution, water scarcity, population tion, cross referencing and validation human intervention. Such automated density right uptointernal injury to the process. process can help in creating near real knee, all ask a fundamental question, (Image 1 & 2) time insights and even compare other W H E R E I S A C E RTA I N T H I N G The two images, show the Normal- areas, or even same geography and LOCATED. This makes location ized Difference Vegetation index, a very different time. intelligence very critical for all pro- standard index showing chlorophyll (Image 3 & 4) cesses, industry, non-industry, govern- health of the farmlands. The two Vasundharaa has been actively ment, social, economic, logistics. We all instances were taken at a one day working in this space creating block very sub-consciously useour location interval and the blue marking are areas based processes to extract the burn understanding in our everyday life, but which reported animal raid. Very clearly area vectors, within minutes of data have come to ignore it when it comes to the loss of vegetation was depicted in delivery. Our algorithms are hosted on optimizing our lives. this case. our partner UP42 marketplace. In the current scenario, the UP42 marketplace Agro-Inputs Forest fires, be it anthropogenic offers the varied satellite datasets and the soil moisture is at a minimum and areas for improved planning and project your operations and businesses. We In one of the projects centered on (human activity) or natural, degrade the hosts algorithms developed by vegetation other the crops are nearly dry executions. Such and other datasets would like to hear about interesting use crop loss due to animal raiding we cross ecosystem, human and animal life and Vasundharaa for rapid analytics. Time is and dead, the best combination of fire also play a very critical role in rural cases and problem statements. check field reports of animal raids with infrastructure. 2019 has seen exponen- of critical importance when dealing with fuel. This is followed by drier winters, development activities, claim settle- satellite imagery to develop a self- tial rise in fire events across the world. large scale fires to prevent loss of life and the onset of fire season, where ments and other aspects of rural About the Author: learning mathematical model which California fires, the Amazon forest fires, and reduce health and socio-economic there are accidental fires, naturals or the g o v e r n a n c e . I n p u t s f r o m w e l l - Advait Kulkarni is the founder of could detect true reports against false Bandipur forest in India, Australian fires impacts. In this regard, real time most commonly observed farms lit of connectedIoT systems can feed in real Vasundharaa Geo Technologies Pvt claims. The area of interest was in the (which are still active) are just few of analytics performed over diverse fires to clear off the post-harvest waste. time information with the spatial aspect, Ltd, and heads the technology aspect of buffer areas of Tadoba forest, and first these. Forest fires destroy large areas of datasets is the foundation to monitor There is already dry vegetation around, and real time analytics engines can the firm. With a bachelors in Aerospace challenge was to train the field staff to land in a relatively short time and are and effectively manage the event. This and soon the farm fires move to forest crunch the crucial data for insights Avionics and master's degree in satellite record field data. Next challenge was to often difficult to control. cost-effective approach provides areas and take shape into a natural getting delivered real time. Spatial applications, venturing out for bringing collect satellite imagery data within consistent, high-quality updates on the disaster. It is situations like this continu- analysis can also be done on crowd space intelligence to ground was always maximum of 48 hours of raid report and Location intelligence and satellite progression of the events while ous monitoring of vegetation, farm- sourced data, for e.g. sentiment a focus. Vasundharaa Geo Tech, invests then to analyze it on the go so that the imagery has recently started playing an supporting complete disaster manage- lands, climate data, and wind direction, analysis on social media portals can be heavily in cloud computing and insight actually made some difference active role in observing, monitoring and ment cycle of readiness, mitigation, thermal signatures gives the stake- spatially analyzed for understanding automated processes. With a lean team for the stakeholders. In this case then, planning control strategies for such response and restoration. holders correct information in short time public opinion of a certain event and be of data scientist and developers we worked with our satellite operators to events. The bottle neck still remains for to act on corrective measures or take classified geographically. This can give Vasundharaa has been able to deliver access daily monitoring datasets. We rapid analysis procedures. The Forest Let us then talk about how these two preventive course of action. Similar a critical insight to stake holders about many interesting analytics to clients accessed data in the 48 hour window, Survey of India has developed a system processes can be fused together. extension of utilization of spatial data their approval ratings and which thus far. which gave us a pre and post imagery, called the FAST 3.0, a revolutionary Consider a situation where severe there can be imagined and applied for all geographies need to be concentrated further analysis was done using our approach for distributing data of active has been a severe shortage of rainfall in industry. One of the major being, on. proprietary deep learning algorithms fires to regional forest departments. The the monsoon (2019 saw mix of both the mapping the entire supply chain of which detected changes. With a data system updates twice a day and can extremes which makes things worse, ------specific industries and then planning for To conclude it can be seen that available at daily interval it was easy to deliver near real time data. This data but we will only talk about the shortage Advait Kulkarni improving efficiency through the entire spatial data science that has been assess the small changes that were can be further added value by extracting right now). Due to this curtailed rainfall, Co Founder, CEO, Vasundharaa Geo chain. developing in isolation from IT and other Technologies Image 1 & 2 technologies, but with ever increasing Email : [email protected] Now that we have spoken a little data sources, analytics processes and about how spatial data science has engines, home-grown sensing technol- different aspects to it and how those can ogies all approaches are converging at be put to use in a very different scenario, a very fast pace. It is going to be very let us also talk about what such data interesting in the coming to drive the means to improved governance. Data change in the utilization of data and data points like, current urban foot print, road analysis with conventional business network, tree network, green cover, practices. It has been a growing trend open area, population density, building that corporates like Infosys, IBM, have heights are typically some of the data started seriously investing in data points delivered for analysis to urban science, spatial data to be specific. I authorities. With this data, they are in a would take this opportunity to ask the much better position to understanding readers to take short time to imagine their city, its requirements and the stress how spatial data would play a role in

34 : OmZodmar 2020 : OmZodmar 2020 35 www.facebook.com/PuneMCCIA www.facebook.com/PuneMCCIA planning battle formations, getting your happening in individual farmlands and burn area vectors and understanding Image 3 & 4 UBER on the correct location without any discrepancy was detected and the extent of the burn area. This vector much of a hassle also needs very strong flagged automatically. This project was extraction can be done using satellite location data. a part of a larger academic study imagery, but needs to be done using undertaken in the area and automated algorithms operating on cloud comput- All data points, be related to air analytics eased the process of correla- ing systems and running without any pollution, water scarcity, population tion, cross referencing and validation human intervention. Such automated density right uptointernal injury to the process. process can help in creating near real knee, all ask a fundamental question, (Image 1 & 2) time insights and even compare other W H E R E I S A C E RTA I N T H I N G The two images, show the Normal- areas, or even same geography and LOCATED. This makes location ized Difference Vegetation index, a very different time. intelligence very critical for all pro- standard index showing chlorophyll (Image 3 & 4) cesses, industry, non-industry, govern- health of the farmlands. The two Vasundharaa has been actively ment, social, economic, logistics. We all instances were taken at a one day working in this space creating block very sub-consciously useour location interval and the blue marking are areas based processes to extract the burn understanding in our everyday life, but which reported animal raid. Very clearly area vectors, within minutes of data have come to ignore it when it comes to the loss of vegetation was depicted in delivery. Our algorithms are hosted on optimizing our lives. this case. our partner UP42 marketplace. In the current scenario, the UP42 marketplace Agro-Inputs Forest fires, be it anthropogenic offers the varied satellite datasets and the soil moisture is at a minimum and areas for improved planning and project your operations and businesses. We In one of the projects centered on (human activity) or natural, degrade the hosts algorithms developed by vegetation other the crops are nearly dry executions. Such and other datasets would like to hear about interesting use crop loss due to animal raiding we cross ecosystem, human and animal life and Vasundharaa for rapid analytics. Time is and dead, the best combination of fire also play a very critical role in rural cases and problem statements. check field reports of animal raids with infrastructure. 2019 has seen exponen- of critical importance when dealing with fuel. This is followed by drier winters, development activities, claim settle- satellite imagery to develop a self- tial rise in fire events across the world. large scale fires to prevent loss of life and the onset of fire season, where ments and other aspects of rural About the Author: learning mathematical model which California fires, the Amazon forest fires, and reduce health and socio-economic there are accidental fires, naturals or the g o v e r n a n c e . I n p u t s f r o m w e l l - Advait Kulkarni is the founder of could detect true reports against false Bandipur forest in India, Australian fires impacts. In this regard, real time most commonly observed farms lit of connectedIoT systems can feed in real Vasundharaa Geo Technologies Pvt claims. The area of interest was in the (which are still active) are just few of analytics performed over diverse fires to clear off the post-harvest waste. time information with the spatial aspect, Ltd, and heads the technology aspect of buffer areas of Tadoba forest, and first these. Forest fires destroy large areas of datasets is the foundation to monitor There is already dry vegetation around, and real time analytics engines can the firm. With a bachelors in Aerospace challenge was to train the field staff to land in a relatively short time and are and effectively manage the event. This and soon the farm fires move to forest crunch the crucial data for insights Avionics and master's degree in satellite record field data. Next challenge was to often difficult to control. cost-effective approach provides areas and take shape into a natural getting delivered real time. Spatial applications, venturing out for bringing collect satellite imagery data within consistent, high-quality updates on the disaster. It is situations like this continu- analysis can also be done on crowd space intelligence to ground was always maximum of 48 hours of raid report and Location intelligence and satellite progression of the events while ous monitoring of vegetation, farm- sourced data, for e.g. sentiment a focus. Vasundharaa Geo Tech, invests then to analyze it on the go so that the imagery has recently started playing an supporting complete disaster manage- lands, climate data, and wind direction, analysis on social media portals can be heavily in cloud computing and insight actually made some difference active role in observing, monitoring and ment cycle of readiness, mitigation, thermal signatures gives the stake- spatially analyzed for understanding automated processes. With a lean team for the stakeholders. In this case then, planning control strategies for such response and restoration. holders correct information in short time public opinion of a certain event and be of data scientist and developers we worked with our satellite operators to events. The bottle neck still remains for to act on corrective measures or take classified geographically. This can give Vasundharaa has been able to deliver access daily monitoring datasets. We rapid analysis procedures. The Forest Let us then talk about how these two preventive course of action. Similar a critical insight to stake holders about many interesting analytics to clients accessed data in the 48 hour window, Survey of India has developed a system processes can be fused together. extension of utilization of spatial data their approval ratings and which thus far. which gave us a pre and post imagery, called the FAST 3.0, a revolutionary Consider a situation where severe there can be imagined and applied for all geographies need to be concentrated further analysis was done using our approach for distributing data of active has been a severe shortage of rainfall in industry. One of the major being, on. proprietary deep learning algorithms fires to regional forest departments. The the monsoon (2019 saw mix of both the mapping the entire supply chain of which detected changes. With a data system updates twice a day and can extremes which makes things worse, ------specific industries and then planning for To conclude it can be seen that available at daily interval it was easy to deliver near real time data. This data but we will only talk about the shortage Advait Kulkarni improving efficiency through the entire spatial data science that has been assess the small changes that were can be further added value by extracting right now). Due to this curtailed rainfall, Co Founder, CEO, Vasundharaa Geo chain. developing in isolation from IT and other Technologies Image 1 & 2 technologies, but with ever increasing Email : [email protected] Now that we have spoken a little data sources, analytics processes and about how spatial data science has engines, home-grown sensing technol- different aspects to it and how those can ogies all approaches are converging at be put to use in a very different scenario, a very fast pace. It is going to be very let us also talk about what such data interesting in the coming to drive the means to improved governance. Data change in the utilization of data and data points like, current urban foot print, road analysis with conventional business network, tree network, green cover, practices. It has been a growing trend open area, population density, building that corporates like Infosys, IBM, have heights are typically some of the data started seriously investing in data points delivered for analysis to urban science, spatial data to be specific. I authorities. With this data, they are in a would take this opportunity to ask the much better position to understanding readers to take short time to imagine their city, its requirements and the stress how spatial data would play a role in

34 : OmZodmar 2020 : OmZodmar 2020 35 www.facebook.com/PuneMCCIA www.facebook.com/PuneMCCIA S>mQ>m gm`Ýg Am{U S>mQ>m A°Z°{b{ggMm _°Ý`w\°$ŠM[a¨J_Ü`o (CËnmXZ joÌmV) hmoUmam Cn`moJ A{dZme {^S>o

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38 : OmZodmar 2020 : OmZodmar 2020 39 www.facebook.com/PuneMCCIA www.facebook.com/PuneMCCIA nÕVrZo _°Ý`w\°$ŠM[a¨J joÌmV Pmbobr àJVr S>mQ>m gm`Ýg, S>mQ>m A°Z{bpñQ>Šg `mÀ`m ~Z{dbr Jobr,Or AmÎmm dmnabr OmV Amho. qH$dm H«$m§Vr. dmnam_wio _°Ý`w\°$ŠM[a¨J qH$dm CËnmXZjoÌmV CXm. {dViboë`m YmVyMo Vmn_mZ Vmo YmVy åhUOoM EHo$ H$mir AmnU CËnmXZ {H$Vr H«$m§VrH$mar gwYmaUm Pmë`m AmhoV. Ë`m _moëS>_Üò AmoVÊ`mMr doi, Ja_ AmoVboë`m hmVmZo H$aV hmoVmo, Ë`mZ§Va drOoMm Cn`moJ eoH$S>mo, H$amoS>mo, AZoH${dY AmhoV. Ë`m§b H$mpñQ>¨J W§S> H$aÊ`mgmR>r {Xbm OmUmam doi, gwé Ho$bm, Ë`mZ§Va amo~moQ>Mm Cn`moJ Am{U H$mhr CXmhaUo Imbrbà_mUo AmhoV, Or Aem AZoH$ Jmoï>tMm Aä`mg H$éZ H$moR>ë`m Ë`mZ§Va H$maImÝ`mVrb _{eÝg Am{U Ë`m dmZJrXmIb AmhoV. H$maUm§_wio CËH¥$ð> XOm©Mo hmoD$ eH$Vo, H$maImÝ`mer g§b¾ Agboë`m BVa 1. H$maImÝ`mV qH$dm _oQ>b \$mC§S>´rV `m~Ôb AZw_mZ H$mT>bo Jobo H$s Or n°a°{_Q>g©² bhmZ_moR>çm H$maImÝ`mVbr _{eÝg `m§Zr hmoUmè`m H$mpñQ§>JMr àV gwYmaUo. `m~m~VrV AmO dmnabr OmV AmhoV. B§Q>aZoQ>Ûmao EH$_oH$m§er g§dmX gmYyZ _bm Ambobm àË`j AZw^d gm§JVmo. 2. gmIa V`ma H$aÊ`mÀ`m H$maImÝ`mV EH$_oH$m§Zm g_OmD$Z KoD$Z Ë`mZwgma Ho$bobo EH$m AÚ`mdV, AmYw{ZH$ \$mC§S>´rV EH$m CÎm_ XOm©Mr gmIa H$aÊ`mH$aVm D$g CËnmXZ, qH$dm àm°S>ŠQ> V`ma H$aUo. _mJyZ V`ma hmoV AgUmar H$mpñQ>¨J nmhÿZ bmJdS>rnmgyZ Vo gmIa nyU©nUo V`ma WmoS>Š`mV åhUOo Agm H$maImZm H$s Á`m `mVrb H$mhr H$mpñQ>¨J H$mhr MwH$sÀ`m àmogog hmoÊ`mÀ`m àËòH$ à{H«$òVbm S>mQ>m Jmoim {R>H$mUrAZoH$ _{eÝg H$m_ H$aV AmhoV n°a°{_Q>a_wio Iam~ hmoÊ`mMr ^rVr Vwbm dmQ>V H$éZ Ë`m S>mQ>mMo n¥W:¸$aU qH$dm {díbofU Am{U Ë`m§À`m OmoS>rbm BVa {R>H$mUMr Zmhr H$m? H$ê$Z Ë`mn«_mUo gmIaoMr {Z{_©Vr H$aVmZm _{eÝg H$m_ H$arV AmhoV. Vo H$m_ nhm`bm Ë`mZo CÎma {Xbo H$s Jobo H$mhr dfm©V `m dmnaÊ`mV òUmè`m qH$dm R>odboë`m gd© EH$ qH$dm XmoZ _mUgoM AgVrb. Am{U `mM {R>H$mUr H$mpñQ>¨J ~Zdbr Jobr Ë`mdoir VèhoÀ`m à{H«$òVrb n°am{_Q>a {Z`§{ÌV Ho$bo CËnmXZ H$m`m©H$[aVm nydu nÞmg EH$ _mUgo Agboë`m qH$dm {Z_m©U Ho$boë`m àËòH$ OmVo. H$m_ H$aV hmoVr. Ë`mM~amo~a Ë`m gd© n°am{_Q>aMo aoH$m°S>© Ho$bo Jobo. Ë`m gd© 3. AJXr gmono CXmhaU ¿`m`Mo åhUOo _{eZarMr EH$_oH$m§er g§dmX gmYÊ`mMr _m{hVrMm Aä`mg H$éZ Ë`mMo n¥W¸$aU n«o{S>pŠQ>d _|Q>oZÝg nadmZo _{eZ ào{S>pŠQ>d ^mfm {S>{OQ>b qH$dm gm§Ho$VrH$ Agë`m_wio Am{U {díbofU Ho$bo Jobo Am{U Ë`m _|Q>oZÝg `m nÕVrZo Vnmgbo OmD$Z Ë`mZ§Va ho Ë`mV _mZdr MyH$m§Zm OmJm ahmUma Zmhr. H$m_ Aä`mgmVyZ Am{U Ë`m {díbofUmda _{eZ H$moUË`m H$maUm_wio Am{U H$Yr ~§X CËH¥$ï> hmoB©b. åhUOoM B§S>ñQ´>r 4. AmYm[aV Aer H$mpñQ>¨J ~Z{dÊ`mMr nÕV nS>Ê`mMr eŠ`Vm Amho ho emoYyZ H$mT>Uo. ào{S>pŠQ>d _|Q>oZÝgMo CnH$aU qH$dm H$mhrVar àý _r _mPm [_Ì `m_mgmH$s `mbm 4. H$ñQ>_aH$Sy>Z _mbmMr _mJUr BÝñQ®>_|Q> ho BboŠQ>´moH$mS>uAmoJ«°_ H$mT>Umè`m {dMmabm hmoVm. `m_mgmH$s B§{O{ZAa Amë`mnmgyZ Vo H$ñQ>_abm _mb XoÊ`mMr CnH$aUmgmaIo AgVo Ago åhUm`bm haH$V Agë`m_wio Ë`mZo _bm S>mQ>m H$boŠeZ, S>mQ>m à{H«$`m ZrQ>nUo Am{U H$~wb Ho$boë`m Zmhr. gm`Ýg Am{U S>mQ>mA°Z{b{Q>Šg `mH$aVm doioda XoÊ`mgmR>r nyd©V`mar H$aUo _{eZda {Za{Zamù`m {R>H$mUr goÝgg© KoVbobo n[al_ gm§{JVbo hmoVo. Vr Q>óZ åhUOoM gßbm`MoZ _°ZoO_|Q>. qH$dm g§doXZñWmZo R>odyZ Ë`m _{eZdaMr H$Yrhr \o$b hmoD$ Zò åhUyZ. H$m°ånwQ>amB©O 5. _mH}$Q>_Üò Amnë`mgma»`mM ìhm`~«oeÝg, Vn_mZ, BbopŠQ>´H$ _moQ>maMm Q>óZ H$Yrhr \o$b hmoD$Z AnKmV hmoD$ Zò CËnmXZm§Mr nmVir H$m` Agob Ë`mMm H$_r OmñV hmoUmam H$a§Q>, \$mC§S>oeZ ~moëQ>da åhUyZ AZoH$ VèhoMr H$m°ånwQ>a gm°âQ>doAa A§XmO ~m§YyZ Ë`mà_mUo _mH}$Q> _{eZ Mmby Agë`mdoir òUmam Xm~ Aem Cn`moJmV AmUbr Jobr hmoVr. Q>óZMr Q>´m`b H$m°pån{Q>eZ_Üò {Q>Hy$Z amhÊ`mgmR>r Jmoï>rMm S>mQ>m Jmoim Ho$bm OmVmo. Ë`m S>mQ>mMo Mmby AgVmZm Jmoim Ho$boë`m S>mQ>mMo nyd©V`mar H$aUo (nmVir åhUOo ¹$m{bQ>r gm`§{Q>{\$H$ VèhoZo {díbofU H$éZ Vo CnH$aU {díbofU H$aÊ`mgmR>r S>mQ>m gm`Ýg `m joÌmV Ago `m {R>H$mUr Amho.) EH$ àH$maMm J«m\$ H$aVo, Á`mMm Cn`moJ AZoH$ VèhoÀ`m Jmoï>r A§V^y©V AmhoV, H$s 6. _°Ý`w\°$ŠM[a¨J Mmby Agboë`m à{H«$`m§Mm H$éZ _{eZMr àH¥$Vr R>a{dVm òVo. Ë`mà_mUo Á`mMm _°Ý`w\°$ŠM[a¨J joÌmV Cn`moJ Ho$bm Aä`mg H$éZ gwYm[aV qH$dm AmYw{ZH$ _{eZMm _|Q>oZÝg H$aVmZm `mo½` Vr H$miOr OmVmo. CXm. VèhoÀ`m à{H«$`m {Z_m©U H$éZ dmnaUo H$s KoD$Z H$mhr H$mbmZo _{eZ ~§X nS>Uo Q>miVm 1. _°Ý`w°\$ŠM[a¨J na\$m°a_Ýg qH$dm Á`m_wio CËnmXZj_Vm, _mbmMr àV òVo. H$m¡eë`mMr nmVir emoYUo. dmT>ob Am{U CËnmXZ IM©hr H$_r EH$ J§_VrMr Jmoï> åhUOo Ë`m J«m\$bm 2. _{eZatMr AmÎmmMr pñWVr Am{U H$mhr hmoB©b. {g¾oMa A°Z{b{ggMm J«m\$ Ago åhUVmV. H$mbmZo hmoUmar pñWVr g_OmD$Z KoUo. 7. CËnmXZ H$aVmZm bmJUmè`m BVa Jmoï>tMr 4. OnmZ_Üò AgVmZm _r àW_ Ooìhm 3. H$ñQ>_aH$Sy>Z gmYmaUV: {H$Vr _mbmMr åhUOo drO, nmUr, H$m±àoñS> hdm hr H$_r H$m°ß`wQ>amB©O Q>óZZo S>´m`ìha Zgboë`m aoëdoVyZ _mJUr òUma Amho Am{U Ë`mH$[aVm Ë`m n«_mUmV bmJyZ Ë`mV ~MV hmoB©b, Aem àdmg Ho$bm hmoVm. Ë`mdoiog AgmM AJmoXaM nyd©V`mar H$aUo. _mJm©Mm Adb§~ H$amdm.

38 : OmZodmar 2020 : OmZodmar 2020 39 www.facebook.com/PuneMCCIA www.facebook.com/PuneMCCIA 8. H $ ñ Q > _ a Z o { X b o ë ` m A m n ë ` m na§Vw Á`mdoiog S>mQ>m {_i{dUo, Ë`mMr S>oQ>m gm`Ýg Am{U S>mQ>m AZ°{b{Q>Šg Ago CËnmXZm~ÔbÀ`m _m{hVrMm Cn`moJ _m§S>Ur H$aUo, Ë`mMo {díbofU H$aUo Am{U åhUVm òB©b. Building Businesses in H$éZ _mbmMr àV gwYmaUo. `mo½` Vo AZw_mZ H$mTy>Z {ZU©` KoUo ho H$m_ darb Jmoï>r g_Om`bm Oam OS> OmV 9. _°Ý`w\°$ŠM[a¨J àmogog_Üò Á`m _°Ý`w\°$ŠM[a¨J à{H«$òer {ZJS>rV Agboë`m AgVrb Va AmUIr EH$ gwIX AZw^d a Big Data Ecosystem H$maUm§_wio CËnmXZ Iam~ hmoD$Z [aOoŠQ> _mUgmbmM H$amdo bmJV hmoVo. AmOhr H$mhr gm§JVmo. H$m_mÀ`m {Z{_ÎmmZo _bm EH$m Prachi Shevgaonkar hmoV Agob Ë`m H$maUm§Mm gImob à_mUmV Vo Ho$bo OmVo. CXm. noaoQ>mo ehamV Omdo bmJV Ago. VoWrb EH$m Aä`mg H$éZ [aOoŠeZ H$_r H$aUo qH$dm A°Z°{b{gg hr nÕV dmnaUo. Mm§Jë`m hm°Q>ob_Üò Vr ahmV Ago, AZoH$ Zï> H$aUo. EImXm àm°S>ŠQ> V`ma H$aVmZm H$moR>çm df}. 10._ °Ý`w\°$ŠM[a¨J H$aVmZm H$maImÝ`mV H$maUm§_wio [aOoŠQ> hmoV Amho Am{U H$moR>br XmoZ dfm©Z§Va EH$Xm OodU KoÊ`mH$aVm AgUmè`m H§${S>eZMm åhUOo Vo{Wb H$maUo {H$Vr {H$Vr AmhoV `mMr _m{hVr _mÂ`mg_moa Ë`m ñQw>AQ>©Zo XmoZ _oÝ`w R>odbo. hdoMo Vn_mZ, hdoVrb AmÐ©Vm, VoWrb ¹$m{bQ>r {S>nmQ>©_|Q>_Üò H$m_ H$aUmè`m EH$ Ë`m hm°Q>ob_Ybm Zoho_rMm _oÝ`y hmoVm ìh|{Q>boeZ `mMm Aä`mg H$éZ Ë`mV _mUgmH$Sy>Z {_idyZ Ë`m H$maUm§Mr àVdmar Am{U Xþgam Img _mÂ`mH$aVm hmoVm. _r Oéa Vo ~Xb H$éZ VoWo H$m_ H$aUmè`m _m§S>Ur H$ê$Z Ë`m H$maUm§Mo {díbofU H$éZ, gwIX Amü`m©Zo Ë`m ñQw>AQ>©H$S>o nm{hë`mZ§Va bmoH$m§Mr CËnmXZj_Vm, CËgmh Oo H$maU A{YH$m{YH$ Agob Vo àW_ Zï> Vmo åhUmbm ""gmho~, `mnydu Vwåhr OodU dmT>{dUo. H$ê$Z àm°S>ŠQ>Mr àV gwYmaUo Am{U BVa KoVmZm _mJ{dbobo nXmW© Am{U Ë`mZ§Va øm gd© Jmoï>r gmÜ` hmoÊ`mH$aVm åhUOo H$maUo EH$m_mJyZ EH$ Zï> H$ê$Z Cƒà{VMm H$YrH$Yr àX{e©V Ho$bobo nXmWm©À`m S>mQ>m _m§S>Ur, Z§VaMo {díbofU ho gd© _mb ~Z{dUo. Mdr~ÔbMo _V Aer gd© _m{hVr Amåhr H$aÊ`mgmR>r Ag§»` àH$maMr _m{hVr, qH$dm darb CXmhaUmV EH$m {d{eï> VèhoZo JmoimH$éZ Vr Am_À`m _w»` eo\$H$S>o {Xbr S>mQ>m H$emVèhoZo Jmoim Ho$bm OmV Agob hm S>mQ>m {_idyZ, _m§S>Ur H$éZ {díbofU H$ê$Z hmoVr. àý H$moUmbmhr nS>ob. hdr Vr àJVr gmYbr OmVo `mMr H$ënZm Ë`m gd© _m{hVrMm Cn`moJ H$éZ Vwåhmbm S>mQ>m {_i{dÊ`mgmR>r Am{U `mo½` VèhoZo Ambr Agmdr Ago _bm dmQ>Vo. H$moUVo nXmW© AmdS>VmV, Ë`mV {VIQ>nUm Z§Va g§H$brV H$ê$Z R>odÊ`mgmR>r AZoH$ S>mQ>m gm`Ýg Am{U S>mQ>m AZ°{b{Q>Šg ho {H$Vr Agmdm, Ë`m nXmWm©V J«oìhr {H$Vr hdr gmonr, gmYr, J§wVmJ§wVrMr, pŠbï> àH$maMr gd© àH$maÀ`m CËnmXZjoÌmV dmnabo OmVo AgVo ho Ë`m eo\$Zo R>a{dbo Am{U Vgm gmYZo qH$dm H$m°åß`wQ>a gm°âQ>doAa Aem qH$dm `m{edm` H$moR>ë`mM CËnmXZ joÌmV Vw_À`mH$aVm Img _oÝ`w V`ma Ho$bm. n Õ V r d m n a ë ` m O m V m V . C X m . àJVr H$aVm òV Zmhr. CXm. \w$S> B§S>ñQ>´r, Ë`m{edm` Ë`m gd© _m{hVrMm Cn`moJ _°Ý`w\°$ŠM[a¨Jer {ZJ{S>V Agboë`m Am°B©b [a\$mBqZJ B§S>ñQ>´r, Ho${_H$b B§S>ñQ>´r, Am_À`m {JèhmB©H$m§Zm Mm§Jë`m MdrMo nXmW© _mUgm§Zm {dMmaUo. _{eZ Mmby AgVmZmMr AëH$mohmob B§S>ñQ>´r, Q>oŠgQ>mBb B§S>ñQ>´r XoÊ`mH$aVmhr Ho$bm OmVmo ho hr _bm Ë`mZo n°a°{_Q>g©À`m Zm|Xr R>odUo. {Za{Zamù`m BË`mXr H$moR>ë`mhr VèhoÀ`m bhmZ_moR>çm gm§{JVbo. {_Ìm§Zmo _r _mÂ`m narZo hm {df` “In God we trust, all others must bring better decision making and lead Variability – like everything else in life, {R>H$mUr goÝgg© qH$dm g§doXZmñWmZo ~gdyZ _°Ý`w\°$ŠM[a¨J àmogog_Yo `m nÕVrbm n`m©` gmonm H$éZ _m§S>Ê`mMm à`ËZ Ho$bm Amho. data” generation. Following are some key data flows are unpredictable. Busi- Ë`mVyZ _m{hVr {_i{dUo. {Za{Zamù`m Zmhr. AJXr KaJwVr _°Ý`w\°$ŠM[a¨J_Yrb `mZ§Va H$moUË`mhr dmMH$mbm _mÂ`mer - W. Edwards Deming characteristics of Big Data:- nesses need to capitalize on seasonal {R>H$mUr Vn_mZXe©H$ CnH$aUr bmdyZ CXmhaU KoD$Z gm§JVm òB©b. `m {df`mV H$mhr g§dmX gmYm`Mm Agob Va and trending data flows. This enlightening quote perfectly Volume – we are inundated with large Ë`mZwgma _m{hVr {_i{dUo. _{eZar H$moUË`m ñd`§nmH$KamV V`ma hmoUmam nXmW© hm Oê$a H$amdo. _r Á`m hm°Q>ob_Yrb summarizes the world we live in today. amounts of data on a daily basis. Veracity – Quality takes precedence H$maUm§_wio, H$Yr H$Yr ~§X nS>Vo Ë`mMo CÎm_ MdrMm hmoUma Amho qH$dm hmoV Amho ho aoñQ>m°a§Q>_Yrb _oÝ`yMo dU©Z Ho$bo Amho VoWo Every inch of our life is now digitized. Efficient storage platforms and cloud over quantity. Cleansing and processing aoH$m°S>© R>odUo. V`ma Ho$boë`m _mbm_Üò Omo J¥{hUr ZwgË`m Vr à{H«$`m Mmby AgVmZm ~gyZM hm boI {bhrbm Amho. Based on a prediction by IDC, Global computing have enabled us to collect of data is an important step in data Data volume will grow exponentially to such large volumes of data for further analytics. _mb [aOoŠQ> hmoV Amho Ë`mMr H$maUo `mMo òUmè`m dmgmdéZ AmoiIVo. _mPo AmdS>Vo nXmW© _mÂ`m Q>o~bmda consume 163 Zettabytes of data by the processing. aoH$m°S>© R>odUo. H$maU nydu Agm nXmW© V`ma H$aVmZm Ambo AmhoV. Ë`m_wio am_ am_. year 2025. This data revolution is all What are the applications of big data about creating a smarter, more Velocity – with the advent of the Internet in various sectors? {dÚwV^ma H§$dm ìhmoëQ>oO Am{U H$a§Q> ho {Za{Zamù`m dmgm§Mr _m{hVr g§H${bV connected world. Businesses that adapt of Things, data streams are being “Without big data analytics, H$em VèhoZo H$_r OmñV hmoV AmhoV Am{U Ho$bobr Agë`m_wio Am{U Ë`mdoiog Vmo ------early to this changing environment will generated at an unprecedented speed. companies are blind and deaf, wander- be leaders of the new millennium. Handling data in real time is the need of ing out onto the Web like deer on a H$Yr H$Yr hmoV AmhoV `mMo aoH$m°S>© R>odUo. nXmW© Mdrbm H$gm Pmbm hmoVm hr _m{hVr A{dZme {^S>o the hour. freeway.” Aem VèhoZo {_i{dbobm S>mQ>m Agë`m_wio Am{U {dûcofU nyduM V`ma B©_ob : [email protected] What is big data? - Geoffrey Moore J§wVmJ§wVrMm Agob Va Ë`m S>mQ>mMr _m§S>Ur Ho$bobo Agë`m_wio AmÎmm òUmè`m dmgmdéZ Big Data refers to large volumes of Variety – Gone are the days of struc- processed or unprocessed data, which tured, numerical data sets. Data now Data has the potential to revolution- Am{U {díbofU H$aVmZm ~aoM doim Vmo nXmW© H$gm hmoB©b `mMo AZw_mZ J¥hrUr is ever flowing and ever growing. This comes in all shape and forms. ize the market and optimize business H$m°åß`wQ>a gm°âQ>doAaMr _XV ¿`mdr bmJVo. H$mT>Vo, Amnë`m ~wÕrÀ`m Omoamda. `mbmM data can be analyzed by businesses for performance. Indian companies are

40 : OmZodmar 2020 : OmZodmar 2020 41 www.facebook.com/PuneMCCIA www.facebook.com/PuneMCCIA 8. H $ ñ Q > _ a Z o { X b o ë ` m A m n ë ` m na§Vw Á`mdoiog S>mQ>m {_i{dUo, Ë`mMr S>oQ>m gm`Ýg Am{U S>mQ>m AZ°{b{Q>Šg Ago CËnmXZm~ÔbÀ`m _m{hVrMm Cn`moJ _m§S>Ur H$aUo, Ë`mMo {díbofU H$aUo Am{U åhUVm òB©b. Building Businesses in H$éZ _mbmMr àV gwYmaUo. `mo½` Vo AZw_mZ H$mTy>Z {ZU©` KoUo ho H$m_ darb Jmoï>r g_Om`bm Oam OS> OmV 9. _°Ý`w\°$ŠM[a¨J àmogog_Üò Á`m _°Ý`w\°$ŠM[a¨J à{H«$òer {ZJS>rV Agboë`m AgVrb Va AmUIr EH$ gwIX AZw^d a Big Data Ecosystem H$maUm§_wio CËnmXZ Iam~ hmoD$Z [aOoŠQ> _mUgmbmM H$amdo bmJV hmoVo. AmOhr H$mhr gm§JVmo. H$m_mÀ`m {Z{_ÎmmZo _bm EH$m Prachi Shevgaonkar hmoV Agob Ë`m H$maUm§Mm gImob à_mUmV Vo Ho$bo OmVo. CXm. noaoQ>mo ehamV Omdo bmJV Ago. VoWrb EH$m Aä`mg H$éZ [aOoŠeZ H$_r H$aUo qH$dm A°Z°{b{gg hr nÕV dmnaUo. Mm§Jë`m hm°Q>ob_Üò Vr ahmV Ago, AZoH$ Zï> H$aUo. EImXm àm°S>ŠQ> V`ma H$aVmZm H$moR>çm df}. 10._ °Ý`w\°$ŠM[a¨J H$aVmZm H$maImÝ`mV H$maUm§_wio [aOoŠQ> hmoV Amho Am{U H$moR>br XmoZ dfm©Z§Va EH$Xm OodU KoÊ`mH$aVm AgUmè`m H§${S>eZMm åhUOo Vo{Wb H$maUo {H$Vr {H$Vr AmhoV `mMr _m{hVr _mÂ`mg_moa Ë`m ñQw>AQ>©Zo XmoZ _oÝ`w R>odbo. hdoMo Vn_mZ, hdoVrb AmÐ©Vm, VoWrb ¹$m{bQ>r {S>nmQ>©_|Q>_Üò H$m_ H$aUmè`m EH$ Ë`m hm°Q>ob_Ybm Zoho_rMm _oÝ`y hmoVm ìh|{Q>boeZ `mMm Aä`mg H$éZ Ë`mV _mUgmH$Sy>Z {_idyZ Ë`m H$maUm§Mr àVdmar Am{U Xþgam Img _mÂ`mH$aVm hmoVm. _r Oéa Vo ~Xb H$éZ VoWo H$m_ H$aUmè`m _m§S>Ur H$ê$Z Ë`m H$maUm§Mo {díbofU H$éZ, gwIX Amü`m©Zo Ë`m ñQw>AQ>©H$S>o nm{hë`mZ§Va bmoH$m§Mr CËnmXZj_Vm, CËgmh Oo H$maU A{YH$m{YH$ Agob Vo àW_ Zï> Vmo åhUmbm ""gmho~, `mnydu Vwåhr OodU dmT>{dUo. H$ê$Z àm°S>ŠQ>Mr àV gwYmaUo Am{U BVa KoVmZm _mJ{dbobo nXmW© Am{U Ë`mZ§Va øm gd© Jmoï>r gmÜ` hmoÊ`mH$aVm åhUOo H$maUo EH$m_mJyZ EH$ Zï> H$ê$Z Cƒà{VMm H$YrH$Yr àX{e©V Ho$bobo nXmWm©À`m S>mQ>m _m§S>Ur, Z§VaMo {díbofU ho gd© _mb ~Z{dUo. Mdr~ÔbMo _V Aer gd© _m{hVr Amåhr H$aÊ`mgmR>r Ag§»` àH$maMr _m{hVr, qH$dm darb CXmhaUmV EH$m {d{eï> VèhoZo JmoimH$éZ Vr Am_À`m _w»` eo\$H$S>o {Xbr S>mQ>m H$emVèhoZo Jmoim Ho$bm OmV Agob hm S>mQ>m {_idyZ, _m§S>Ur H$éZ {díbofU H$ê$Z hmoVr. àý H$moUmbmhr nS>ob. hdr Vr àJVr gmYbr OmVo `mMr H$ënZm Ë`m gd© _m{hVrMm Cn`moJ H$éZ Vwåhmbm S>mQ>m {_i{dÊ`mgmR>r Am{U `mo½` VèhoZo Ambr Agmdr Ago _bm dmQ>Vo. H$moUVo nXmW© AmdS>VmV, Ë`mV {VIQ>nUm Z§Va g§H$brV H$ê$Z R>odÊ`mgmR>r AZoH$ S>mQ>m gm`Ýg Am{U S>mQ>m AZ°{b{Q>Šg ho {H$Vr Agmdm, Ë`m nXmWm©V J«oìhr {H$Vr hdr gmonr, gmYr, J§wVmJ§wVrMr, pŠbï> àH$maMr gd© àH$maÀ`m CËnmXZjoÌmV dmnabo OmVo AgVo ho Ë`m eo\$Zo R>a{dbo Am{U Vgm gmYZo qH$dm H$m°åß`wQ>a gm°âQ>doAa Aem qH$dm `m{edm` H$moR>ë`mM CËnmXZ joÌmV Vw_À`mH$aVm Img _oÝ`w V`ma Ho$bm. n Õ V r d m n a ë ` m O m V m V . C X m . àJVr H$aVm òV Zmhr. CXm. \w$S> B§S>ñQ>´r, Ë`m{edm` Ë`m gd© _m{hVrMm Cn`moJ _°Ý`w\°$ŠM[a¨Jer {ZJ{S>V Agboë`m Am°B©b [a\$mBqZJ B§S>ñQ>´r, Ho${_H$b B§S>ñQ>´r, Am_À`m {JèhmB©H$m§Zm Mm§Jë`m MdrMo nXmW© _mUgm§Zm {dMmaUo. _{eZ Mmby AgVmZmMr AëH$mohmob B§S>ñQ>´r, Q>oŠgQ>mBb B§S>ñQ>´r XoÊ`mH$aVmhr Ho$bm OmVmo ho hr _bm Ë`mZo n°a°{_Q>g©À`m Zm|Xr R>odUo. {Za{Zamù`m BË`mXr H$moR>ë`mhr VèhoÀ`m bhmZ_moR>çm gm§{JVbo. {_Ìm§Zmo _r _mÂ`m narZo hm {df` “In God we trust, all others must bring better decision making and lead Variability – like everything else in life, {R>H$mUr goÝgg© qH$dm g§doXZmñWmZo ~gdyZ _°Ý`w\°$ŠM[a¨J àmogog_Yo `m nÕVrbm n`m©` gmonm H$éZ _m§S>Ê`mMm à`ËZ Ho$bm Amho. data” generation. Following are some key data flows are unpredictable. Busi- Ë`mVyZ _m{hVr {_i{dUo. {Za{Zamù`m Zmhr. AJXr KaJwVr _°Ý`w\°$ŠM[a¨J_Yrb `mZ§Va H$moUË`mhr dmMH$mbm _mÂ`mer - W. Edwards Deming characteristics of Big Data:- nesses need to capitalize on seasonal {R>H$mUr Vn_mZXe©H$ CnH$aUr bmdyZ CXmhaU KoD$Z gm§JVm òB©b. `m {df`mV H$mhr g§dmX gmYm`Mm Agob Va and trending data flows. This enlightening quote perfectly Volume – we are inundated with large Ë`mZwgma _m{hVr {_i{dUo. _{eZar H$moUË`m ñd`§nmH$KamV V`ma hmoUmam nXmW© hm Oê$a H$amdo. _r Á`m hm°Q>ob_Yrb summarizes the world we live in today. amounts of data on a daily basis. Veracity – Quality takes precedence H$maUm§_wio, H$Yr H$Yr ~§X nS>Vo Ë`mMo CÎm_ MdrMm hmoUma Amho qH$dm hmoV Amho ho aoñQ>m°a§Q>_Yrb _oÝ`yMo dU©Z Ho$bo Amho VoWo Every inch of our life is now digitized. Efficient storage platforms and cloud over quantity. Cleansing and processing aoH$m°S>© R>odUo. V`ma Ho$boë`m _mbm_Üò Omo J¥{hUr ZwgË`m Vr à{H«$`m Mmby AgVmZm ~gyZM hm boI {bhrbm Amho. Based on a prediction by IDC, Global computing have enabled us to collect of data is an important step in data Data volume will grow exponentially to such large volumes of data for further analytics. _mb [aOoŠQ> hmoV Amho Ë`mMr H$maUo `mMo òUmè`m dmgmdéZ AmoiIVo. _mPo AmdS>Vo nXmW© _mÂ`m Q>o~bmda consume 163 Zettabytes of data by the processing. aoH$m°S>© R>odUo. H$maU nydu Agm nXmW© V`ma H$aVmZm Ambo AmhoV. Ë`m_wio am_ am_. year 2025. This data revolution is all What are the applications of big data about creating a smarter, more Velocity – with the advent of the Internet in various sectors? {dÚwV^ma H§$dm ìhmoëQ>oO Am{U H$a§Q> ho {Za{Zamù`m dmgm§Mr _m{hVr g§H${bV connected world. Businesses that adapt of Things, data streams are being “Without big data analytics, H$em VèhoZo H$_r OmñV hmoV AmhoV Am{U Ho$bobr Agë`m_wio Am{U Ë`mdoiog Vmo ------early to this changing environment will generated at an unprecedented speed. companies are blind and deaf, wander- be leaders of the new millennium. Handling data in real time is the need of ing out onto the Web like deer on a H$Yr H$Yr hmoV AmhoV `mMo aoH$m°S>© R>odUo. nXmW© Mdrbm H$gm Pmbm hmoVm hr _m{hVr A{dZme {^S>o the hour. freeway.” Aem VèhoZo {_i{dbobm S>mQ>m Agë`m_wio Am{U {dûcofU nyduM V`ma B©_ob : [email protected] What is big data? - Geoffrey Moore J§wVmJ§wVrMm Agob Va Ë`m S>mQ>mMr _m§S>Ur Ho$bobo Agë`m_wio AmÎmm òUmè`m dmgmdéZ Big Data refers to large volumes of Variety – Gone are the days of struc- processed or unprocessed data, which tured, numerical data sets. Data now Data has the potential to revolution- Am{U {díbofU H$aVmZm ~aoM doim Vmo nXmW© H$gm hmoB©b `mMo AZw_mZ J¥hrUr is ever flowing and ever growing. This comes in all shape and forms. ize the market and optimize business H$m°åß`wQ>a gm°âQ>doAaMr _XV ¿`mdr bmJVo. H$mT>Vo, Amnë`m ~wÕrÀ`m Omoamda. `mbmM data can be analyzed by businesses for performance. Indian companies are

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starting to realize the importance of big use of Data. ● India Weather Data provides data analytics to gain a competitive datasets for several weather MCCIA Annual Awards 2019 edge in the industry. Here is how Government Initiatives related to parameters such as temperature, leading companies in various sectors Data pressure, humidity etc. are utilizing data. Indian Government has taken a ● Import Export Datasets give out e- keen interest in adapting to new filling services for trade and cargo Financial Services Sector technologies in big data and AI. Data carriers. ● Most private banks in India have has the power to bring about transpar- ● Wildlife Institute of India gives out started utilizing data streams to ency and efficiency in governance. datasets on a variety of wildlife make business decisions. species in India. ● Data is being used to form consumer Disha Dashboard – India's National risk profiles and profitable seg- Data Platform Innovation through Big Data ments. The Disha Dashboard is a three Gone are the days when strategic ● Insurance companies are leverag- dimensional data visualization platform decisions were made based on gut. ing big data analytics to device risk bringing 42 flagship government With the advent of data, companies can estimations. schemes under one roof. With 3.5 Billion rely on a more powerful predictor of ● Another compelling use of Big Data dynamic data points, this initiative aims strategy – Big Data. This all-consuming, is in Fraud Detection, by analyzing at unifying data points across ministries, all-encompassing and self-perpetuating transactions in real time and tracking geographies and constituencies. This data can be utilized to ideate, innovate anomalies. platforms hopes to drive data driven and create sustainable business The 72nd MCCIA Annual Awards Mr. Vikram Sathaye shared some He further said, “There is a differ- governance and decision making at an models. A new world engrossed by Big 2 0 1 9 c e r e m o n y w a s h e l d a t management lessons from the world of ence between invention and innovation. Agriculture unprecedented level. It will also help Data has already come into effect – let Balgandharva Rangmandir on 5th sports which could be of use to MSMEs. Invention is to find something while Recording of changes in various businesses track government schemes us jump on to this bandwagon of December 2019. He said, “The potential of Indians comes innovation is to use it in a way that it can attributes such as temperature, soil in real time. innovation and optimization and lead from the smaller towns because the be useful for the society. Many patents composition, gene sequencing, output, our companies to a promising future The awards were given in the youth from smaller towns has the fire in are filed but putting them to commercial water level, weather and its subsequent CIBIL following categories : them to do something and achieve use is important. Today people who effects on output can help in discovering Credit Information Bureau Limited is References - Award for Innovation in Entrepre- newer heights. Hence even if they are have been awarded have been able to optimal environmental conditions for India's first Credit Information Bureau https://www.datapine.com/blog/big- neurship- Instituted in the weaker in english they must be given a put their idea into implementation which agriculture. established by the government in 2000. data-examples-in-healthcare/ memory of Mr. G. S. Parkhe chance as they are ready to work hard.” has benefitted the society at large.” The platform gives consumer credit https://www.proschoolonline.com/blog/ - Award for Women Entrepreneurs- Many biotechnical firms in India information from all major financial applications-of-big-data-in-india Instituted in the memory of Mrs. In his Opening Remarks, Mr. Dr. Firodia said that firstly we must have started using sensor data to institutions in the country. Banks and https://www.upgrad.com/blog/scope-of- Ramabai Joshi Pradeep Bhargava, President MCCIA create wealth to distribute it. For this, enhance crop efficiency. Credit Card companies can utilize this big-data-in-india/ - Award for Green Initiatives in stated that “The award ceremony is a entrepreneurship has to increase and information to develop risk profiles and https://www.simplilearn.com/how-big- Maharashtra- Instituted by Dr. R. celebration of success. This is a victory should be appreciated. Marketing determine credit scores of individuals. d a t a - c a n - h e l p - d o - w o n d e r s - i n - J. Rathi Charity Trust of achieving one's aspirations. The Marketing is all about consumer business-rar398-article - Award for First Generation winners are visionaries who have left a Speaking of entrepreneurs, Dr. insight. Big Data has been instrumental Open Government Data (OGD) https://www.entrepreneur.com/article/3 Successful Entrepreneurs- legacy and are an inspiration for all. We Firodia said, “Plants, computers or in providing insights into sales cycles, Platform 16057 Instituted in the memory of Late as a chamber are grateful to be machines cannot create anything by conversion rates, campaign evaluation, O G D is an innovative portal https://www.bernardmarr.com/default.a Kiran Natu presenting these awards for years themselves. For success of business it Customer Relationship Management designed to be a single point access to sp?contentID=1738 - Award under Corporate Social together. Some awards have a rich needs human thought. Spontaneous (CRM) systems and much more. all datasets, documents, services, tools https://www.sas.com/en_in/insights/big Responsibility- Instituted in the legacy of few decades like the Parkhe intuition and a lot of courage is required and applications published by ministries -data/what-is-big-data.html memory of Mr. B. G. Deshmukh award. This award is not about winning for entrepreneurs who want to create Data driven marketing campaigns and organization affiliated with the https://analyticstraining.com/indian- (IAS) or losing or is not saying that someone is something new. Entrepreneurs create generate 2.7 times greater brand Government of India. Ministry of Micro, companies-using-analytics/ better than the other. Here, the competi- something new from nothing. They have awareness, improve chances of Small & Medium Enterprises has also h t t p s : / / s o c i a l c o p s . c o m / c a s e - Dr. Abhay Firodia, Past President- tion is with one's own aspirations.” to be confident of their ventures and customer acquisition and ultimately lead shared 7 data sets through this platform, studies/disha-dashboard/ MCCIA and Chairman of Force Motors ready for sacrifices. They must recog- to better customer satisfaction. which give an insight into Manufacturing https://community.data.gov.in/msme- was the Chief Guest for the ceremony. Dr. Abhay Firodia, Chairman Force nise opportunities and should be and Service enterprises. data-on-open-government-data- Mr. Vikram Sathaye, cricket humourist Motors delivered the keynote address. decisive and should lead by example. Healthcare platform/ and standup comedian, Mr. Pradeep He said, “We sometimes forget the Such people definitely taste success.” Implementing big data analysis in There are several other data sets https://analyticsindiamag.com/top-10- Bhargava, President. MCCIA and importance of entrepreneurship. Pune Mr. Prashant Girbane-Director healthcare not only saves money, but published by the Indian Government indian-government-datasets-that-you- Mr. Prashant Girbane, Director General, is known for its educational institutions. General, MCCIA proposed a Vote of also lives. Health data of a particular that businesses can use while drafting can-use-for-analytics-projects/ MCCIA were also present on the dais. According to me 'Education + Enterprise Thanks to the Guests, members of the demographic can be used to prevent projects. To name a few:- + Ethics = Further Prosperity.' He added Jury for various Awards, award winners epidemics, cure diseases, develop ------Mr. Prashant Girbane, Director that we must remember that Progress and their teams and the audience. This treatment models and cut down costs. ● RBI Database of Indian Economy Prachi Shevgaonkar is Youth Fellow at General, MCCIA gave the welcome needs enterprise and ethics. What was certainly a memorable event for all Data driven findings can be used to gives out Microeconomic Indicators MCCIA. address and applauded people who makes an entrepreneur, is the will to those were present. The significance of improve quality of treatments, manage for Indian economy. Email : [email protected] have instituted the awards. He also achieve something and the awardees the Ceremony is highlighted by one inventory and empower patients to keep ● Gateway to Indian Earth Observa- thanked the jury members for their here display this will. Today we need more element – a House Full Auditorium track of their own health. It is about time tion by ISRO provides free satellite painstaking efforts in selecting the people making a difference in various gathered to laud the achievements of the health industry in India makes full data to citizens. awardees. fields.” the award winners.

42 : OmZodmar 2020 : OmZodmar 2020 43 www.facebook.com/PuneMCCIA MCCIA News www.facebook.com/PuneMCCIA starting to realize the importance of big use of Data. ● India Weather Data provides data analytics to gain a competitive datasets for several weather MCCIA Annual Awards 2019 edge in the industry. Here is how Government Initiatives related to parameters such as temperature, leading companies in various sectors Data pressure, humidity etc. are utilizing data. Indian Government has taken a ● Import Export Datasets give out e- keen interest in adapting to new filling services for trade and cargo Financial Services Sector technologies in big data and AI. Data carriers. ● Most private banks in India have has the power to bring about transpar- ● Wildlife Institute of India gives out started utilizing data streams to ency and efficiency in governance. datasets on a variety of wildlife make business decisions. species in India. ● Data is being used to form consumer Disha Dashboard – India's National risk profiles and profitable seg- Data Platform Innovation through Big Data ments. The Disha Dashboard is a three Gone are the days when strategic ● Insurance companies are leverag- dimensional data visualization platform decisions were made based on gut. ing big data analytics to device risk bringing 42 flagship government With the advent of data, companies can estimations. schemes under one roof. With 3.5 Billion rely on a more powerful predictor of ● Another compelling use of Big Data dynamic data points, this initiative aims strategy – Big Data. This all-consuming, is in Fraud Detection, by analyzing at unifying data points across ministries, all-encompassing and self-perpetuating transactions in real time and tracking geographies and constituencies. This data can be utilized to ideate, innovate anomalies. platforms hopes to drive data driven and create sustainable business The 72nd MCCIA Annual Awards Mr. Vikram Sathaye shared some He further said, “There is a differ- governance and decision making at an models. A new world engrossed by Big 2 0 1 9 c e r e m o n y w a s h e l d a t management lessons from the world of ence between invention and innovation. Agriculture unprecedented level. It will also help Data has already come into effect – let Balgandharva Rangmandir on 5th sports which could be of use to MSMEs. Invention is to find something while Recording of changes in various businesses track government schemes us jump on to this bandwagon of December 2019. He said, “The potential of Indians comes innovation is to use it in a way that it can attributes such as temperature, soil in real time. innovation and optimization and lead from the smaller towns because the be useful for the society. Many patents composition, gene sequencing, output, our companies to a promising future The awards were given in the youth from smaller towns has the fire in are filed but putting them to commercial water level, weather and its subsequent CIBIL following categories : them to do something and achieve use is important. Today people who effects on output can help in discovering Credit Information Bureau Limited is References - Award for Innovation in Entrepre- newer heights. Hence even if they are have been awarded have been able to optimal environmental conditions for India's first Credit Information Bureau https://www.datapine.com/blog/big- neurship- Instituted in the weaker in english they must be given a put their idea into implementation which agriculture. established by the government in 2000. data-examples-in-healthcare/ memory of Mr. G. S. Parkhe chance as they are ready to work hard.” has benefitted the society at large.” The platform gives consumer credit https://www.proschoolonline.com/blog/ - Award for Women Entrepreneurs- Many biotechnical firms in India information from all major financial applications-of-big-data-in-india Instituted in the memory of Mrs. In his Opening Remarks, Mr. Dr. Firodia said that firstly we must have started using sensor data to institutions in the country. Banks and https://www.upgrad.com/blog/scope-of- Ramabai Joshi Pradeep Bhargava, President MCCIA create wealth to distribute it. For this, enhance crop efficiency. Credit Card companies can utilize this big-data-in-india/ - Award for Green Initiatives in stated that “The award ceremony is a entrepreneurship has to increase and information to develop risk profiles and https://www.simplilearn.com/how-big- Maharashtra- Instituted by Dr. R. celebration of success. This is a victory should be appreciated. Marketing determine credit scores of individuals. d a t a - c a n - h e l p - d o - w o n d e r s - i n - J. Rathi Charity Trust of achieving one's aspirations. The Marketing is all about consumer business-rar398-article - Award for First Generation winners are visionaries who have left a Speaking of entrepreneurs, Dr. insight. Big Data has been instrumental Open Government Data (OGD) https://www.entrepreneur.com/article/3 Successful Entrepreneurs- legacy and are an inspiration for all. We Firodia said, “Plants, computers or in providing insights into sales cycles, Platform 16057 Instituted in the memory of Late as a chamber are grateful to be machines cannot create anything by conversion rates, campaign evaluation, O G D is an innovative portal https://www.bernardmarr.com/default.a Kiran Natu presenting these awards for years themselves. For success of business it Customer Relationship Management designed to be a single point access to sp?contentID=1738 - Award under Corporate Social together. Some awards have a rich needs human thought. Spontaneous (CRM) systems and much more. all datasets, documents, services, tools https://www.sas.com/en_in/insights/big Responsibility- Instituted in the legacy of few decades like the Parkhe intuition and a lot of courage is required and applications published by ministries -data/what-is-big-data.html memory of Mr. B. G. Deshmukh award. This award is not about winning for entrepreneurs who want to create Data driven marketing campaigns and organization affiliated with the https://analyticstraining.com/indian- (IAS) or losing or is not saying that someone is something new. Entrepreneurs create generate 2.7 times greater brand Government of India. Ministry of Micro, companies-using-analytics/ better than the other. Here, the competi- something new from nothing. They have awareness, improve chances of Small & Medium Enterprises has also h t t p s : / / s o c i a l c o p s . c o m / c a s e - Dr. Abhay Firodia, Past President- tion is with one's own aspirations.” to be confident of their ventures and customer acquisition and ultimately lead shared 7 data sets through this platform, studies/disha-dashboard/ MCCIA and Chairman of Force Motors ready for sacrifices. They must recog- to better customer satisfaction. which give an insight into Manufacturing https://community.data.gov.in/msme- was the Chief Guest for the ceremony. Dr. Abhay Firodia, Chairman Force nise opportunities and should be and Service enterprises. data-on-open-government-data- Mr. Vikram Sathaye, cricket humourist Motors delivered the keynote address. decisive and should lead by example. Healthcare platform/ and standup comedian, Mr. Pradeep He said, “We sometimes forget the Such people definitely taste success.” Implementing big data analysis in There are several other data sets https://analyticsindiamag.com/top-10- Bhargava, President. MCCIA and importance of entrepreneurship. Pune Mr. Prashant Girbane-Director healthcare not only saves money, but published by the Indian Government indian-government-datasets-that-you- Mr. Prashant Girbane, Director General, is known for its educational institutions. General, MCCIA proposed a Vote of also lives. Health data of a particular that businesses can use while drafting can-use-for-analytics-projects/ MCCIA were also present on the dais. According to me 'Education + Enterprise Thanks to the Guests, members of the demographic can be used to prevent projects. To name a few:- + Ethics = Further Prosperity.' He added Jury for various Awards, award winners epidemics, cure diseases, develop ------Mr. Prashant Girbane, Director that we must remember that Progress and their teams and the audience. This treatment models and cut down costs. ● RBI Database of Indian Economy Prachi Shevgaonkar is Youth Fellow at General, MCCIA gave the welcome needs enterprise and ethics. What was certainly a memorable event for all Data driven findings can be used to gives out Microeconomic Indicators MCCIA. address and applauded people who makes an entrepreneur, is the will to those were present. The significance of improve quality of treatments, manage for Indian economy. Email : [email protected] have instituted the awards. He also achieve something and the awardees the Ceremony is highlighted by one inventory and empower patients to keep ● Gateway to Indian Earth Observa- thanked the jury members for their here display this will. Today we need more element – a House Full Auditorium track of their own health. It is about time tion by ISRO provides free satellite painstaking efforts in selecting the people making a difference in various gathered to laud the achievements of the health industry in India makes full data to citizens. awardees. fields.” the award winners.

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The Award Winners

Award for Innovation in Entrepreneurship

Sr. No. Award Award Winner Product / Services

1 (Instituted in the memory Mr. Prashant Pansare Data Science Product for Predictive, of Mr. G. S. Parkhe) Founder-Chairman and Managing Forecasting & Text Mining Data Director Inteliment Technologies Pvt. Ltd.

2 (Instituted in the memory Mr. Vijay Deshpande FUEL SENSOR of Mr. G. S. Parkhe) Chairman and Managing Director SAM INTEGRATIONS PVT. LTD.

3 (Instituted in the memory Mr. Subodh Vinayak Joshi Removal of Fine Fibers from Hot Raw Juice of Mr. G. S. Parkhe) Managing Director using Proven Rotary Screen Technology” Suviron Equipments Pvt Ltd

MCCIA Annual Awards 2019 - Award for Women Entrepreneur

Award Name of the Entrepreneur Product

(Instituted in the memory of Ms. Ujwala Anil Gosavi RICE DE HUSKING MACHINE Mrs. Ramabai Joshi) ProprietorClimber Systems (COLD MILLING FOR BROWN RICE)

MCCIA Annual Awards 2019 - Award under Corporate Social Responsibility

MCCIA Annual Awards 2019 -Award for Green Initiatives in Maharashtra

(Instituted by Dr. R. J. Rathi Charity Trust) Mr. Sunil Naik Operating Director Jabil Circuit India Pvt. Ltd.

MCCIA Annual Awards 2019 - Award for First Generation Successful Entrepreneur

(Instituted in the memory ofLate Kiran Natu Udyojakta Puraskar) Mr. Ashutosh Gokhale Director Oilmax Systems Pvt. Ltd.

(Instituted in the memory of Late Kiran Natu Udyojakta Puraskar) Mr. Yatin Tambe Director Friction Welding Technologies Pvt. Ltd.

44 : OmZodmar 2020 : OmZodmar 2020 45 www.facebook.com/PuneMCCIA MCCIA News MCCIA News www.facebook.com/PuneMCCIA