IBM and Good Tech: Modeling Responsible Stewardship in the Digital Age Arvind’S Letter Over Its 109-Year History, IBM Has Helped the World Weather Many Storms
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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. -
Artificial Intelligence in Health Care: the Hope, the Hype, the Promise, the Peril
Artificial Intelligence in Health Care: The Hope, the Hype, the Promise, the Peril Michael Matheny, Sonoo Thadaney Israni, Mahnoor Ahmed, and Danielle Whicher, Editors WASHINGTON, DC NAM.EDU PREPUBLICATION COPY - Uncorrected Proofs NATIONAL ACADEMY OF MEDICINE • 500 Fifth Street, NW • WASHINGTON, DC 20001 NOTICE: This publication has undergone peer review according to procedures established by the National Academy of Medicine (NAM). Publication by the NAM worthy of public attention, but does not constitute endorsement of conclusions and recommendationssignifies that it is the by productthe NAM. of The a carefully views presented considered in processthis publication and is a contributionare those of individual contributors and do not represent formal consensus positions of the authors’ organizations; the NAM; or the National Academies of Sciences, Engineering, and Medicine. Library of Congress Cataloging-in-Publication Data to Come Copyright 2019 by the National Academy of Sciences. All rights reserved. Printed in the United States of America. Suggested citation: Matheny, M., S. Thadaney Israni, M. Ahmed, and D. Whicher, Editors. 2019. Artificial Intelligence in Health Care: The Hope, the Hype, the Promise, the Peril. NAM Special Publication. Washington, DC: National Academy of Medicine. PREPUBLICATION COPY - Uncorrected Proofs “Knowing is not enough; we must apply. Willing is not enough; we must do.” --GOETHE PREPUBLICATION COPY - Uncorrected Proofs ABOUT THE NATIONAL ACADEMY OF MEDICINE The National Academy of Medicine is one of three Academies constituting the Nation- al Academies of Sciences, Engineering, and Medicine (the National Academies). The Na- tional Academies provide independent, objective analysis and advice to the nation and conduct other activities to solve complex problems and inform public policy decisions. -
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. -
The Weather Company History on Demand
Solution Brief The Weather Company History on Demand Learn from the past’s data to prepare for the future’s business demands Highlights Anecdotes are great for telling stories, but they lose credibility when your near real-time business decisions depend on – Precision them for actionable data. History on Demand (HoD), from The – Accuracy Weather Company, an IBM Business, provides the historical – Speed of scale context we believe you need to extrapolate relationships and – Competetive pricing make correlations with your past business and operational – 35km grid results to help you predict future business needs and – 5+ years historical data outcomes. HoD offers competitively priced and accurate historical weather information, featuring a 35 km worldwide grid and hourly historical information dating back to July 2011. Make global decisions locally HoD provides a worldwide, consistent dataset of the most important and commonly used weather parameters accessible via web API. You can obtain large historical datasets specific to your geography and time without having to rummage through unorganized public datasets. Couple the historical data with your analysis and our forecast products, and you’ll have the tools to help you manage and minimize significant weather impacts on your business and better plan for them in the future. Convenient access in one package HoD offers a comprehensive dataset spanning July 2011 to the present, and new data is regularly added as it becomes available. HoD contains hourly values for surface temperature, wind speed, wind direction, relative humidity, atmospheric pressure, dewpoint and precipitation rate. Access can be gained by latitude/longitude and is supported for a list of latitudinal/longitudinal points, as well as a bounding box specification. -
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. -
Integration of System for Research in Health with Computation in Cloud Using Artificial Intelligence
MOJ Proteomics & Bioinformatics Research Article Open Access Integration of system for research in health with computation in cloud using artificial intelligence Abstract Volume 7 Issue 4 - 2018 Currently the use of information technology is often applied in the health area. With regard 1 to scientific research, we have the SINPE© Integrated System of Electronic Protocols. Carlos Henrique Kuretzki, José Simão de 2 3 The purpose of this tool is to support the researcher in this area who until now did not Paula Pinto, José Claudio Vianna have statistical tests. The main objective of this work is to provide SINPE© users with the 1Professor of the Program for Analysis and Development of improvement in health data analysis through the use of cognitive computing technologies. Systems and Computer Engineering, Federal University, Brazil 2Professor of the Information Management Program, Federal Keywords: artificial intelligence, cloud computing, information systems University, Brazil 3Professor of the Computer Engineering, Universidade Positivo, Brazil Correspondence: Carlos Henrique Kuretzki, Professor of the Program for Analysis and Development of Systems and Computer Engineering, Federal University, Brazil, Email [email protected] Received: June 29, 2018 | Published: August 08, 2018 Introduction more quickly.4 IBM Watson is a cognitive computing technology and have been used to investigate the biological and health sciences. The health sector is one of the largest in most countries and can It is based on medical literature, patents, genetic, and chemical and significantly benefit from high‒quality, real‒time and location‒ pharmacological data.5 The IBM’s Watson platform combines some independent data. However, many healthcare professionals are capabilities, building a complete cognitive system, which is being not familiar with information technology solutions, business and called the new era of computing. -
Spark and DB2 -- a Perfect Couple
Spark and DB2 -- A perfect couple Pallavi Priyadarshini [email protected] Senior Technical Staff Member Spark Technology Center, IBM Session # E11 | Wed, May 25 (1 PM – 2 PM) | Platform: Cross platform Agenda Objective 1: Spark fundamentals relevant to database integration Objective 2: Integration between Spark and IBM data servers through DataFrame API Objective 3: Loading DB2 data into Spark and writing Spark data into DB2 Objective 4: Spark Use Cases Demo Power of data. Simplicity of design. Speed of innovation. Background What is Spark An Apache Foundation open source project. Not a product. An in-memory compute engine that works with data. Not a data store. Enables highly iterative analysis on large volumes of data at scale Unified environment for data scientists, developers and data engineers Radically simplifies process of developing intelligent apps fueled by data. History of Spark . 2002 – MapReduce @ Google . 2004 – MapReduce paper . 2006 – Hadoop @ Yahoo . 2008 – Hadoop Summit . 2010 – Spark paper . 2014 – Apache Spark top-level . 2014 – 1.2.0 release in December Activity for 6 months in 2014 . 2015 – 1.3.0 release in March (from Matei Zaharia – 2014 Spark Summit . 2015 – 1.5 released in Sep ) . 2016 – 1.6 released in Jan . Spark is HOT!!! . Most active project in Hadoop ecosystem . One of top 3 most active Apache projects . Databricks founded by the creators of Spark from UC Berkeley’s AMPLab Why Spark? Spark is open, accelerating community innovation Spark is fast —100x faster than Hadoop MapReduce Spark is about all data for large-scale data processing Spark supports agile data science to iterate rapidly Spark can be integrated with IBM solutions Our partner ecosystem IBM announces major commitment™ - to advance Apache® Spark The Analytics Operating System …the most significant open source project of the next decade. -
Mainstay VP Income Builder Portfolio Proxy Voting Record
MainStay VP Income Builder Portfolio ******************************* FORM N-Px REPORT ******************************* ICA File Number: 811-03833 Reporting Period: 07/01/2020 - 06/30/2021 MainStay VP Funds Trust ===================== MainStay VP Income Builder Portfolio ===================== ABBVIE INC. Ticker: ABBV Security ID: 00287Y109 Meeting Date: MAY 07, 2021 Meeting Type: Annual Record Date: MAR 08, 2021 # Proposal Mgt Rec Vote Cast Sponsor 1.1 Elect Director Roxanne S. Austin For For Management 1.2 Elect Director Richard A. Gonzalez For For Management 1.3 Elect Director Rebecca B. Roberts For For Management 1.4 Elect Director Glenn F. Tilton For For Management 2 Ratify Ernst & Young LLP as Auditors For For Management 3 Advisory Vote to Ratify Named For For Management Executive Officers' Compensation 4 Amend Omnibus Stock Plan For For Management 5 Amend Nonqualified Employee Stock For For Management Purchase Plan 6 Eliminate Supermajority Vote For For Management Requirement 7 Report on Lobbying Payments and Policy Against For Shareholder 8 Require Independent Board Chair Against Against Shareholder -------------------------------------------------------------------------------- ALLIANZ SE Ticker: ALV Security ID: D03080112 Meeting Date: MAY 05, 2021 Meeting Type: Annual Record Date: # Proposal Mgt Rec Vote Cast Sponsor 1 Receive Financial Statements and None None Management Statutory Reports for Fiscal Year 2020 (Non-Voting) 2 Approve Allocation of Income and For Did Not Vote Management Dividends of EUR 9.60 per Share 3 Approve Discharge of Management Board For Did Not Vote Management for Fiscal Year 2020 4 Approve Discharge of Supervisory Board For Did Not Vote Management for Fiscal Year 2020 5 Approve Remuneration Policy For Did Not Vote Management 6 Approve Remuneration of Supervisory For Did Not Vote Management Board 7 Amend Articles Re: Supervisory Board For Did Not Vote Management Term of Office Page 1 MainStay VP Income Builder Portfolio -------------------------------------------------------------------------------- ALTRIA GROUP, INC. -
BCL: a Cross-Platform Distributed Data Structures Library
BCL: A Cross-Platform Distributed Data Structures Library Benjamin Brock, Aydın Buluç, Katherine Yelick University of California, Berkeley Lawrence Berkeley National Laboratory {brock,abuluc,yelick}@cs.berkeley.edu ABSTRACT high-performance computing, including several using the Parti- One-sided communication is a useful paradigm for irregular paral- tioned Global Address Space (PGAS) model: Titanium, UPC, Coarray lel applications, but most one-sided programming environments, Fortran, X10, and Chapel [9, 11, 12, 25, 29, 30]. These languages are including MPI’s one-sided interface and PGAS programming lan- especially well-suited to problems that require asynchronous one- guages, lack application-level libraries to support these applica- sided communication, or communication that takes place without tions. We present the Berkeley Container Library, a set of generic, a matching receive operation or outside of a global collective. How- cross-platform, high-performance data structures for irregular ap- ever, PGAS languages lack the kind of high level libraries that exist plications, including queues, hash tables, Bloom filters and more. in other popular programming environments. For example, high- BCL is written in C++ using an internal DSL called the BCL Core performance scientific simulations written in MPI can leverage a that provides one-sided communication primitives such as remote broad set of numerical libraries for dense or sparse matrices, or get and remote put operations. The BCL Core has backends for for structured, unstructured, or adaptive meshes. PGAS languages MPI, OpenSHMEM, GASNet-EX, and UPC++, allowing BCL data can sometimes use those numerical libraries, but are missing the structures to be used natively in programs written using any of data structures that are important in some of the most irregular these programming environments. -
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. -
Data Transfer Options and Requirements
Data Transfer Options and Requirements Original date 25 Jan 2005 Revision date 21 Aug 2018 Proprietary and Confidential Data Transfer Options and Requirements Summary of changes Date Short description of changes September 2016 Updated name of submission tool to SDSS. August 2018 Rebranded. Contacting support Support is available through the following link: https://www.ibm.com/software/support/watsonhealth/truven_support.html © Copyright IBM Corporation 2018 IBM Confidential 2 Data Transfer Options and Requirements Contents Summary of changes .................................................................................................................................... 2 Contacting support ........................................................................................................................... 2 Contents ........................................................................................................................................................ 3 Overview ....................................................................................................................................................... 5 Electronic data transfer methods ..................................................................................................... 5 Data suppliers ..................................................................................................................... 5 Data recipients ................................................................................................................... -
Technology Services
CLOUD MANAGED SERVICES AND HOSTING SECTOR REVIEW | Q1 2020 Technology Services IT Services | Q2 2021 TECHNOLOGY, MEDIA & TELECOM PAGE | 0 Select Technology Services | IT Services M&A Transactions a Announced June 3, 2021 Thrive Acquired ONI Managed Services • Thrive, a premier provider of NextGen managed services, acquired ONI, a leading U.K. cloud, hybrid-managed IT, Cisco Gold Partner, data-center services company. • ONI will expand Thrive’s geographic footprint, both domestically and internationally, as well as enhancing the company’s Cisco WAN, unified communication and cloud expertise. FireEye Announces Sale of FireEye Products Business to Symphony Technology Group for $1.2 Billionb Managed Security & Announced June 2, 2021 Consulting • The transaction separates FireEye’s network, email, endpoint, and cloud security products, along with the related security management and orchestration platform, from Mandiant’s controls-agnostic software and services. • For FireEye products, this means “strengthened channel relationships” with managed security service providers (MSSP) based on integration alliances with complementary cybersecurity product vendors. c Announced June 1, 2021 Cerberus Capital Acquired Red River Technology from Acacia Partners Federal Managed Services • Red River Technology is a leading provider of technology solutions and managed services with mission-critical expertise in security, networking, data center, collaboration, mobility, and cloud applications. • Through the partnership with Cerberus, Red River will continue to grow services to federal government agencies, SLED, and commercial businesses. Gryphon Investors Combines Three ServiceNow Businesses to Form Stand-alone Platformd Announced May 27, 2021 Application Partner • Gryphon acquired a majority stake in the ServiceNow division of Highmetric from the Acacia Group, and simultaneously acquired Fishbone Analytics Inc.