MODERNIZATION OF DIGITAL ENTERPRISES AI AT THE CORE From Models to Outcomes Hardik Tiwari, Prateek Das Humankind has always been fascinated by the ability of machines to learn Movies, Books, Art Thomas Bayes conceptualized Bayes Mathematicians and Scientists envisioned Theorem in 1763 the possibilities of predicting outcomes Alan Turing Arthur Samuel The world started imagining what if machines are Coined the term Wrote the first smarter “Turing Test” in Machine Learning 1950 code in 1952 And now we live in a present in which humans and intelligent systems are bound together in a symbiotic autonomy Smart Reply Apr 1, 2009: An April Fool’s Day joke Nov 5, 2015: Launched real product Feb 1, 2016: >10% of mobile Inbox replies AI permeates our daily lives — from search engines to ride-share schedulers to ever needful digital personal assistants Received a reminder about Confluence from Google Checked route on maps Booked a cab on Uber Received a location update for Taj Taking notes on Evernote Took a selfie for Instagram AI has reached a stage where intelligent systems have bettered the humans at times Face Recognition Human AI/ Machine 97.5% 97.7% Lip reading 41.3% 57.9% Pneumonia Detection 75.3% 75.9% And now AI technologies have become pervasive in every industry BFSI $25B Estimated revenue from AI products & Top Brands services in 2025 Fraud Detection Automated Cognitive RPA Uses automated analysis to help Trading identify clients best positioned for follow-on equity offerings. Chatbots Robo- Portfolio Advisors ~5M Management Potential jobs to be Loan/ Risk impacted in US by Insurance Management 2025 Credit underwriting Scoring Personalized Added AI enhancements to its Financial mobile banking app, which will give Scaleof disruption Products users personalized insights into ~10,000 their finances. Global AI start-ups by Sentiment 2025 Analysis AI complexity And now AI technologies have become pervasive in every industry Healthcare $25B Estimated revenue from AI products & Top Brands services in 2025 Robo-assisted Surgery & Virtual Diagnosis Therapy Medtronic uses IBM Watson for its Consultation Virtual Nursing remote drug delivery and Assistant monitoring solution for diabetic ~5M patients Potential jobs to be Drug Discovery impacted in US by 2025 Health Analytics has developed a portfolio of AI & Prediction solutions that help automate and standardize complex diagnostics to Scaleof disruption Hospital Manageme meet the needs of every patient. ~10,000 nt Global AI start-ups by Patient 2025 Monitoring AI complexity And now AI technologies have become pervasive in every industry Enterprise $25B Software Estimated revenue from AI products & Top Brands services in 2025 Security & Surveillance Automated Einstein built over its CRM learns from Frontend all that data to deliver predictions and Development recommendations based on different ~5M unique business processes Predictive Potential jobs to be Maintenance impacted in US by Data Access 2025 Management Marketing Symantec’s Endpoint Protection 14, Automation a new security solution harnesses Scaleof disruption artificial intelligence to protect clients ~10,000 Productivit y Global AI start-ups by 2025 AI complexity And now AI technologies have become pervasive in every industry Retail $25B Estimated revenue from AI products & Top Brands services in 2025 Product Placement Walmart partners with Bossa Nova, Lead Generation Customer whose fully autonomous robots Product Marketing Analytics use machine vision to scan ~5M shelves and monitor inventory Potential jobs to be Payment & impacted in US by Inventory Planning Services 2025 & Management Personalization Theft Tracking Logistics & Amazon prime customers can now Scaleof disruption Delivery order through Alexa ~10,000 Content Global AI start-ups by Recommendation 2025 AI complexity And now AI technologies have become pervasive in every industry and are changing the way we drive, transact, buy, work and - Live Automotive $25B Estimated revenue Top Brands from AI products & Autonomous services in 2025 Cars Assisted Auto-Insurance Driving Predictive Tesla is an American EV company Traffic Predictive ~5M Vehicle which utilizes AI to offer its customer Management Maintenance self-driving features Potential jobs to be Maintenance Operations impacted in US by 2025 Gm uses its Cruise Automation Scaleof disruption platform to create self-driving ~10,000 autonomous vehicles Global AI start-ups by 2025 AI complexity Also Enabling large scale socio-economic impact Major Challenges More than 2B Women (> 25 Years) need breast cancer screening; less than 200M getting screened every year What is Niramai doing? While these success stories are encouraging, many ML initiatives across global enterprises are not scaling fast enough Not understanding regulatory aspect Oil and No data Gas collecting/sharing standards Piloting cool use cases Still working on workflow automation Trying to forecast the impossible The DNA of AI Organization is different New Game, Priorities Customer New Rules Newer Expectations Enablers Product Development Ecosystem Hyper-Agile | Orchestration Hyper-Collaborative Capabilities Talent Global | Reskilled |Multi Disciplinary Vision Leadership Customers now have different expectations from the Customers experience from AI products and services Immediate, Consistency Personalization No UI is the new UI responsive service Build. Release. Feedback. Iterate . Scale vs Build. Products Iterate. Release. Scale Enterprises need to release models early, gather Products with limitations released early to feedback and iterate to improve the product gather feedback data 95% Autopilot 80% Iterate Launch Tay.ai and Zo.ai Accuracy Accuracy of Model Apple Maps Time taken Sigmoid : Your buddy at the Products Confluence - Built over Weekend DRAUP Hack - Hopefully, at 80% www.login.draup.com/sigmoid/ The machine learning product stack is different Products No UI Messaging Speech Vision AI Platform & Machine Learning Frameworks and Machine learning APIs and Advanced Framework Algorithm Libraries analytics platforms Tools Data collection & injection Data preparation & binding Infrastructure as a Data storage High density computing Infrastructure service And it is more about Orchestration of Platforms Ecosystem No UI Messaging Voice AI Platform & Framework Tools Infrastructure And it is more about Orchestration of Platforms Ecosystem Medtronic leverages open source infrastructure in multiple areas of its product stack SugarIQ APP No UI Messaging Platform Tools Infrastructure ` Competition landscape has changed, competition is on platforms & Ecosystem creating ecosystems rather than companies or customers Open source contribution from large technology companies GitHUB Stars Repository tensorflow/tensorflow 103k 30.7k fchollet/keras Deep Learnin Caffe g 24.5k bvlc/caffe Microsoft IBM Computation H2O CNTK System 16.5k pytorch al Network Toolkit ML Facebook 14.6k microsoft/cntk Spark Baidu’s – Bitkit Warp CTC FAIR for torch 9.1k deeplearning4j Tenso Mahout MLLib Torch r Flow Intel 8.3k theano Open Trusted Cogniti Analytic on s 8.2k caffe2/caffe2 Project Platfor m 8.2k tflearn/tflearn 7.9k torch 6.6k deepmind/sonnet There is a war for AI Talent that only Tech Mafias Talent seem to be winning AI Demand AI supply ~2.1M ~1M Global Job Openings Job Global ~1M Tech Mafias Own 35% of the AI Talent ~100 K ~44% of the AI talent in ~60K US 2018 2019 2020 2021 2022 2023 2024 2025 One of the major factors limiting scale is the Talent inability to acquire and retain the right ML Talent. This talent is concentrated in a few key locations and with few large tech companies Netherlands 950 ~250K Atlanta Installed9 Big2K Data & AI talent in UK installed MachineG500 companies Learning talent in 4600 G500 companies Seattle Area Boston Germany 10,400 Spain Beijing Tokyo 2400 3700 1000 3100 1100 2200 24,000 3600 4300 1700 1800 32% Bay Area France Hyderabad Shanghai New York 1100 of the 92K employees are working Israel for 3100 Tech Giants 450 Bangalore 950 Singapore Sao Paulo 400K There is a demand for 400K Machine Learning developers by the enterprises and start-ups Our “Talent Simulation” predicts diversification of the Talent available AI Talent – Driven by democratization of AI education, infra investments, and maturing ecosystems Denver Cambridge Klon Amsterdam Green Delhi Jilin Changchun Minneapolis Bay Stockholm Shenyang Detroit London Nanjing Pittsburgh Gdansk Munich Chandigarh Beijing Seoul 130+ Seattle Boston Chongqing Paris Cluj Kawasaki Talent Hotbeds San New York Lyon Bucharest Chengdu Francisco Tokyo Tel Aviv Bangalore Kolkata Philadelphia Dubai Jaipur Shanghai San Jose Atlanta Morocco Guangzhou Dallas Gainesville Cairo Surat Orlando Vizag Los angels Tampa Shenzhen Houston Lagos Ahmedabad Ho-chi-minh Guatemala Hong Kong ~20% San Diego Accra Singapore Bogota Nairobi Of AI Talent is employed across Phoenix Recife Jakarta Pune tier-2 locations in 2018 Lima, peru Coimbatore Hyderabad Campinas Mumbai Brisbane Sau Paulo Chennai Adelaide Durban Sydney Santiago Colombo Perth Buenos Aires Melbourne 37 Countries will be home to 1M Machine learning developers by 2018 2020 2022 2024 2026 2028 2030 2030 And India with its ecosystem and aspirations ~45K ~5K Available AI AI talent Available 2018 2023(E) The Leadership traits in AI first organizations are Leadership drastically different Other enterprises AI-driven enterprises Imaginative 6.50% 12.70% Imaginative Persuasive 12.47% 11.50% Persuasive Rational 25.88% 6.87% Rational Methodical 9.99% 21.91% Challenge driven