2018 Corporate Responsibility Report
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Corporate Citizenship in India Transforming Business, Technology and Society
IBM Corporate Citizenship Corporate Citizenship in India Transforming business, technology and society IBM’s longstanding, global commitment to corporate responsibility is a “At IBM, we leverage our demonstration of our values and the priorities that guide them. By thought leadership, integrating corporate responsibility with business strategy, we contrib- ute to the communities in which we do business while engaging our technologies and expertise clients, partners and employees. IBM’s technology and talent have the to help our clients and our power to help transform governments, institutions, communities and communities – making a the quality of life for people around the world. Whether it’s improving difference to where we live education, revitalizing cities, protecting the environment or driving and work. Our CSR focus economic growth, IBM and IBMers contribute innovative solutions to the world’s toughest societal challenges. in 2014 was on supporting the community Education through service grants, IBM’s Teachers TryScience (TTS) is a science portal and resources, helping build the capacity strategies and tutorial for science educators across the globe to spark students’ interest in science, technology, engineering and math of NGOs that we are (STEM). Through Teachers TryScience, teachers can improve their associated with to make a instruction of project-based learning, with a focus on engineering and larger or deeper impact. design. Teachers are encouraged to search for grade-specific lessons We continue to evolve our that are linked to online professional development that helps them approach on corporate further implement lessons in the classroom. The TTS Community of Practice or the online teachers community allows to share the best citizenship to provide the practices and experiences across each country. -
Advanced Packaging Solutions
Advanced Packaging Solutions Highlights Providing silicon-scaling • Advanced packaging capabilities in solutions for tomorrow’s applications 2.5D, 3D, WLP and Silicon Photonics GLOBALFOUNDRIES post-fab services provide complementary and extended • Power, performance, cost and solutions with complete supply chain management including bump, probe, form-factor optimized solutions packaging and final test. The flexible supply chain model is tailored to your • Industry leader in smart interposers needs with services ranging from bump and probe only to a more comprehen- sive spectrum of services including package design, assembly and test. • In-house bump and wafer probe capabilities In addition to in-house bump and probe capabilities, we provide packaging • Advanced memory integration services in collaboration with a network of established OSAT partners, includ- with stacked memories ing 2D packages as well as 2.5D and 3D advanced package technologies. Test development and capabilities include RF, analog, embedded memory, • Ownership and process maturity for HVM and mmWave applications, with wide array of tester platforms for wafer sort operations. • Advanced silicon node CPI and qualification Packaging Requirements • RF system-in-package and Package types are selected based on performance requirements and optimized mmWave packaging capability for market segments including IoT, RF, Automotive, Mobile, High-end • Partnerships and strong relationships Computing, Networking and Storage. with leading-edge OSATs • Flexible supply chain and Mobile IoT RF Automotive Computing Networking Storage collaborative business models QFN FBGA WLCSP FOWLP SiP fcCSP FCBGA 2.5D 3D Si-PH Advanced Packaging Solutions Packaging Technologies TSV Si Interposer Availability GF Si nodes are qualified in a wide range of package Full Reticle 26x33mm2 technologies including 2D wirebond designs, flip Stitched Interposer >1300 mm2 chip, WLCSP and FOWLP configurations, as well 10:1 Aspect Ratio TSV 10um Dia./ 100um Depth as 2.5D, 3D and Si-Photonics. -
SPSS to Orthosim File Conversion Utility Helpfile V.1.4
SPSS to Orthosim File Conversion Utility Helpfile v.1.4 Paul Barrett Advanced Projects R&D Ltd. Auckland New Zealand email: [email protected] Web: www.pbarrett.net 30th December, 2019 Contents 3 Table of Contents Part I Introduction 5 1 Installation Details ................................................................................................................................... 7 2 Extracting Matrices from SPSS - Cut and Paste ................................................................................................................................... 8 3 Extracting Matrices from SPSS: Orthogonal Factors - E.x..c..e..l. .E..x..p..o..r.t................................................................................................................. 17 4 Extracting Matrices from SPSS: Oblique Factors - Exce.l. .E..x..p..o..r..t...................................................................................................................... 24 5 Creating Orthogonal Factor Orthosim Files ................................................................................................................................... 32 6 Creating Oblique Factor Orthosim Files ................................................................................................................................... 41 3 Paul Barrett Part I 6 SPSS to Orthosim File Conversion Utility Helpfile v.1.4 1 Introduction SPSS-to-Orthosim converts SPSS 11/12/13/14 factor loading and factor correlation matrices into the fixed-format .vf (simple ASCII text) files -
Integrating Excel, SQL, and SPSS Within an Introductory Finance Intrinsic Value Assignment
Journal of Finance and Accountancy Volume 20, September, 2015 Integrating Excel, SQL, and SPSS within an Introductory Finance Intrinsic Value Assignment Richard Walstra Dominican University Anne Drougas Dominican University Steve Harrington Dominican University ABSTRACT In 2013, the Association to Advance Collegiate Schools of Business (AACSB) issued revised accreditation standards to address a “new era” of business education. The standards recognize that students will be entering a data-driven world and need skills in information technology to analyze and manage data. Employer surveys also emphasize the importance of technological skills and knowledge in a rapidly changing environment. To address these challenges, business faculty in all disciplines must adapt course content to incorporate software tools and statistical applications and integrate active learning tools that provide students with hands-on experience. This paper describes a technology-based, business valuation assignment instructors can employ within an undergraduate managerial finance course. The assignment draws upon historical financial data from the restaurant industry as students predict the intrinsic value of a firm through the application of various software products. Students receive data in an Access database and create SQL queries to determine free cash flows before transferring information into Excel for further analysis. Students continue by uploading key data elements into SPSS and performing statistical analysis on three growth models in order to identify a desired predictor of intrinsic value. The assignment develops students’ abilities to navigate software tools, understand statistical concepts, and apply quantitative decision making. Key Words: Business valuation, growth rates, software tools Copyright statement: Authors retain the copyright to the manuscripts published in AABRI journals. -
IBM India Private Limited: Update on Material Event
October 20, 2020 IBM India Private Limited: Update on Material Event Summary of rating action Instrument* Rated Amount (Rs. crore) Rating outstanding [ICRA]AAA (Stable) / [ICRA]A1+; Long-term/Short-term – Proposed facilities 150.00 outstanding Short-term - Non-fund Based 20.00 [ICRA]A1+; outstanding Long-term (Interchangeable) (20.00) [ICRA]AAA (Stable); outstanding Total 170.00 Material Event On October 8, 2020, International Business Machines Corporation, USA (IBM Corporation; rated A2/stable/P1 by Moody’s) has announced its decision to spin off its managed infrastructure services unit of global technology services (GTS) division into a separate public company by the end of 2021, subject to regulatory approvals. The spin-off is to sharpen its focus on high-margin open hybrid cloud platform and artificial intelligence (AI) capabilities. Subsequently, on October 10, 2020, based on media articles, it is noted that the Indian operations, which are currently carried on under IBM India Private Limited (IBM India), would be restructured as well and around one-fourth of its employees will be part of the new entity catering to the needs of managed IT infrastructure services. Impact of the Material Event IBM India is one of the key global delivery centres for IBM Corporation with over 70% of its revenues being derived from export of services to the parent entity and its fellow subsidiaries, as part of the outsourcing business model. The company derives over 20% of its revenues from technology services, cloud platform and global business services division, wherein IBM India provides infrastructure services and technology support services to its clients. -
IBM India Private Limited: Ratings of [ICRA]AAA (Stable)/ [ICRA]A1+ Assigned
September 23, 2020 IBM India Private Limited: Ratings of [ICRA]AAA (Stable)/ [ICRA]A1+ assigned Summary of rating action Current Rated Amount Instrument* Rating Action (Rs. crore) Long-term/Short-term – Proposed facilities 150.00 [ICRA]AAA (Stable) / [ICRA]A1+; assigned Short-term - Non-Fund based 20.00 [ICRA]A1+; assigned Long-term (Interchangeable) (20.00) [ICRA]AAA (Stable); assigned Total 170.00 Rationale The assigned ratings favourably factor in the strong parentage of IBM India Private Limited (IBM India), being a step- down subsidiary of International Business Machines Corporation, USA (IBM Corporation; rated A2/stable/P1 by Moody’s), experienced management team, strong operational and strategic linkages with IBM Corporation, and its healthy financial and operational profile with presence across various end-user industries. Being part of IBM Corporation, a global leader in providing information technology (IT)-related services and products, IBM India has access to the strong expertise and capabilities in the business of the latter. India is a key market for IBM Corporation, although its share in the overall revenues is less (<5%) because of the demographic advantage of availability of low-cost labour and large, skilled talent pool. The company is one of the key global delivery centres at the Group level and derived over 70% of its revenues in FY2020 from export of services to its parent and fellow subsidiaries on a cost- plus model. IBM India’s credit profile is characterised by its large scale of operations, stable earnings and cashflows, net debt-free status and strong liquidity profile. The Covid-19 pandemic has adversely impacted the Indian and global IT services industry, causing disruption to both supply (restriction of movement of employees) and demand (like delayed offtake of new projects, reduced discretionary spend and IT budget cuts). -
IBM DB2 for Z/OS: the Database for Gaining a Competitive Advantage!
Why You Should Read This Book Tom Ramey, Director, DB2 for z/OS IBM Silicon Valley Laboratory “This book is a ‘must read’ for Enterprise customers and contains a wealth of valuable information! “It is clear that there is a technology paradigm shift underway, and this is opening enormous opportunities for companies in all industries. Adoption of Cloud, Mobile, and Analytics promises to revolutionize the way we do business and will add value to a company’s business processes across all functions from sales, marketing, procurement, manufacturing and finance. “IT will play a significant role enabling this shift. Read this book and find out how to integrate the heart of your infrastructure, DB2 for z/OS, with new technologies in order to maximize your investment and drive new value for your customers.” Located at IBM’s Silicon Valley Laboratory, Tom is the director of IBM’s premiere relational database management system. His responsibilities include Architecture, Development, Service, and Customer Support for DB2. He leads development labs in the United States, Germany, and China. Tom works closely with IBM’s largest clients to ensure that DB2 for z/OS continues as the leading solution for modern applications, encompassing OLTP to mobile to analytics. At the same time he continues an uncompromising focus on meeting the needs of the most demanding operational environments on Earth, through DB2’s industry- leading performance, availability, scaling, and security capabilities. IBM DB2 for z/OS: The Database for Gaining a Competitive Advantage! Shantan Kethireddy Jane Man Surekha Parekh Pallavi Priyadarshini Maryela Weihrauch MC Press Online, LLC Boise, ID 83703 USA IBM DB2 for z/OS: The Database for Gaining a Competitive Advantage! Shantan Kethireddy, Jane Man, Surekha Parekh, Pallavi Priyadarshini, and Maryela Weihrauch First Edition First Printing—October 2015 © Copyright 2015 IBM. -
BIOINFORMATICS APPLICATIONS NOTE Doi:10.1093/Bioinformatics/Btq011
Vol. 26 no. 5 2010, pages 705–707 BIOINFORMATICS APPLICATIONS NOTE doi:10.1093/bioinformatics/btq011 Databases and ontologies Advance Access publication January 19, 2010 ProteinWorldDB: querying radical pairwise alignments among protein sets from complete genomes Thomas Dan Otto1,2,∗, Marcos Catanho1, Cristian Tristão3, Márcia Bezerra3, Renan Mathias Fernandes4, Guilherme Steinberger Elias4, Alexandre Capeletto Scaglia4, Bill Bovermann5, Viktors Berstis5, Sergio Lifschitz3, Antonio Basílio de Miranda1 and Wim Degrave1 1Laboratório de Genômica Funcional e Bioinformática, Instituto Oswaldo Cruz, Fiocruz, Rio de Janeiro, Brazil, 2Pathogen Genomics, Wellcome Trust Genome Campus, Hinxton, UK, 3Departamento de Informática, Pontifícia Universidade Católica do Rio de Janeiro, Rio de Janeiro, 4IBM Brasil, Hortolândia, São Paulo, Brazil and 5IBM, Austin, TX, USA Associate Editor: Alfonso Valencia ABSTRACT nomenclature or might have no value when inferred from previous Motivation: Many analyses in modern biological research are incorrectly annotated sequences. Hence, secondary databases based on comparisons between biological sequences, resulting such as Swiss-Prot (http://www.expasy.ch/sprot/), PFAM (http:// in functional, evolutionary and structural inferences. When large pfam.sanger.ac.uk) or KEGG (http://www.genome.ad.jp/kegg), to numbers of sequences are compared, heuristics are often used mention only a few, have been implemented to analyze specific resulting in a certain lack of accuracy. In order to improve functional aspects and to improve the annotation procedures and and validate results of such comparisons, we have performed results. radical all-against-all comparisons of 4 million protein sequences Dynamic programming algorithms, or a fast approximation, belonging to the RefSeq database, using an implementation of the have been successfully applied to biological sequence comparison Smith–Waterman algorithm. -
Spring 2017 Industry Study Industry Report Electronics
Spring 2017 Industry Study Industry Report Electronics The Dwight D. Eisenhower School for National Security and Resource Strategy National Defense University Fort McNair, Washington, DC 20319-5062 i ELECTRONICS 2017 ABSTRACT: While currently assessed as mature and healthy, the global semiconductor industry is facing a strategic inflection point. This inflection will shape a future for the industry that is significantly different than the past. Although outlook for that future remains favorable, numerous challenges place that future at risk. Challenges found in Chinese competition, skilled workforce shortages, commercial semiconductor market shifts, unique DoD electronics needs, and ongoing requirements for rapid innovation threaten the stability of the market, the U.S. competitive advantage, and U.S. economic and national security. Future success in the industry hinges upon policies which address these challenges and enable U.S. companies to embrace future opportunities. LTC Khalid Alothman, Saudi Arabian Army CDR Terri L. Gabriel, U.S. Navy LTC Kevin F. Hanrahan, U.S. Army COL Jeffrey Howell, U.S. Army Mr. Benjamin Lam, U.S. Dept. of State Mr. Steven Mapes, Office of the Secretary of Defense Lt Col Adrian Meyer, Air National Guard COL Michael Samson, Philippine Army Col James E. Smith, U.S. Air Force Mr. Keith Smithson, Dept. of Energy COL William Smoot, U.S. Army Mr. Sim Walker, Dept. of the Army Lt Col Aaron Weiner, U.S. Air Force Ms. Denise L. Williams, Office of the Secretary of Defense Dr. Stephen Basile, Faculty Mr. Michael Dixon, Department of State, Faculty Col Thomas A. Santoro, Jr., U.S. Air Force, Faculty ii Industry Study Outreach and Field Studies On Campus Presenters BAE Systems, Inc., Arlington, VA Bureau of East Asian and Pacific Affairs, U.S. -
Heading Towards Big Data Building a Better Data Warehouse for More Data, More Speed, and More Users
Heading Towards Big Data Building A Better Data Warehouse For More Data, More Speed, And More Users Raymond Gardiner Goss [email protected] Kousikan Veeramuthu [email protected] Manufacturing Technology GLOBALFOUNDRIES Malta, NY, USA Abstract—As a new company, GLOBALFOUNDRIES is determine the caller’s income level and specify to which agent aggressively agile and looking at ways to not just mimic existing to route the call or the switch would timeout. When switches semiconductor manufacturing data management but to leverage were overwhelmed with data, they would drop packets and new technologies and advances in data management without algorithms had to infer states based on most probable current sacrificing performance or scalability. Being a global technology state. Other industries, such as social media, are challenged company that relies on the understanding of data, it is important to centralize the visibility and control of this information, bringing more by unstructured data and need tools to help turn text it to the engineers and customers as they need it. messages and photos into useful information for search engines and marketing purposes. The challenge in the semiconductor Currently, the factories are employing the best practices and world is with the size of the data. Speed becomes a secondary data architectures combined with business intelligence analysis problem because so many sources are needed to be joined and reporting tools. However, the expected growth in data over together in a timely manner. Large recipes, complex output the next several years and the need to deliver more complex data integration for analysis will easily stress the traditional tools from the test floor combined now with more Interface-A trace beyond the limits of the traditional data infrastructure. -
United States Securities and Exchange Commission Form 10-K
UNITED STATES SECURITIES AND EXCHANGE COMMISSION WASHINGTON, D.C. 20549 FORM 10-K ANNUAL REPORT pursuant to Section 13 or 15 (d) of the Securities Exchange Act of 1934 FOR THE YEAR ENDED DECEMBER 31, 2017 1-2360 (Commission file number) INTERNATIONAL BUSINESS MACHINES CORPORATION (Exact name of registrant as specified in its charter) NEW YORK 13-0871985 (State of Incorporation) (IRS Employer Identification Number) ARMONK, NEW YORK 10504 (Address of principal executive offices) (Zip Code) 914-499-1900 (Registrant’s telephone number) Securities registered pursuant to Section 12(b) of the Act: Voting shares outstanding Name of each exchange Title of each class at February 9, 2018 on which registered Capital stock, par value $.20 per share 921,167,894 New York Stock Exchange Chicago Stock Exchange 1.375% Notes due 2019 New York Stock Exchange 2.750% Notes due 2020 New York Stock Exchange 1.875% Notes due 2020 New York Stock Exchange 0.500% Notes due 2021 New York Stock Exchange 2.625% Notes due 2022 New York Stock Exchange 1.25% Notes due 2023 New York Stock Exchange 1.125% Notes due 2024 New York Stock Exchange 2.875% Notes due 2025 New York Stock Exchange 0.950% Notes due 2025 New York Stock Exchange 0.300% Notes due 2026 New York Stock Exchange 1.750% Notes due 2028 New York Stock Exchange 1.500% Notes due 2029 New York Stock Exchange 8.375% Debentures due 2019 New York Stock Exchange 7.00% Debentures due 2025 New York Stock Exchange 6.22% Debentures due 2027 New York Stock Exchange 6.50% Debentures due 2028 New York Stock Exchange 7.00% Debentures due 2045 New York Stock Exchange 7.125% Debentures due 2096 New York Stock Exchange Indicate by check mark if the registrant is a well-known seasoned issuer as defined in Rule 405 of the Securities Act. -
Boa Motion to Dismiss
Case 21-10036-CSS Doc 211-4 Filed 02/15/21 Page 425 of 891 Disposition of the Stapled Securities Gain on sale of Stapled Securities by a Non-U.S. Stapled Securityholder will not be subject to U.S. federal income taxation unless (i) the Non-U.S. Stapled Securityholder’s investment in the Stapled Securities is effectively connected with its conduct of a trade or business in the United States (and, if provided by an applicable income tax treaty, is attributable to a permanent establishment or fixed base the Non-U.S. Stapled Securityholder maintains in the United States) and a properly completed Form W-8ECI has not been provided, (ii) the Non-U.S. Stapled Securityholder is present in the United State for 183 days or more in the taxable year of the sale and other specified conditions are met, or (iii) the Non-U.S. Stapled Securityholder is subject to U.S. federal income tax pursuant to the provisions of the U.S. tax law applicable to U.S. expatriates. If gain on the sale of Stapled Securities would be subject to U.S. federal income taxation, the Stapled Securityholder would generally recognise any gain or loss equal to the difference between the amount realised and the Stapled Securityholder’s adjusted basis in its Stapled Securities that are sold or exchanged. This gain or loss would be capital gain or loss, and would be long-term capital gain or loss if the Stapled Securityholder’s holding period in its Stapled Securities exceeds one year. In addition, a corporate Non-U.S.