2015 IBM Annual Report
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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. -
2016 8Th International Conference on Cyber Conflict: Cyber Power
2016 8th International Conference on Cyber Conflict: Cyber Power N.Pissanidis, H.Rõigas, M.Veenendaal (Eds.) 31 MAY - 03 JUNE 2016, TALLINN, ESTONIA 2016 8TH International ConFerence on CYBER ConFlict: CYBER POWER Copyright © 2016 by NATO CCD COE Publications. All rights reserved. IEEE Catalog Number: CFP1626N-PRT ISBN (print): 978-9949-9544-8-3 ISBN (pdf): 978-9949-9544-9-0 CopyriGHT AND Reprint Permissions No part of this publication may be reprinted, reproduced, stored in a retrieval system or transmitted in any form or by any means, electronic, mechanical, photocopying, recording or otherwise, without the prior written permission of the NATO Cooperative Cyber Defence Centre of Excellence ([email protected]). This restriction does not apply to making digital or hard copies of this publication for internal use within NATO, and for personal or educational use when for non-profit or non-commercial purposes, providing that copies bear this notice and a full citation on the first page as follows: [Article author(s)], [full article title] 2016 8th International Conference on Cyber Conflict: Cyber Power N.Pissanidis, H.Rõigas, M.Veenendaal (Eds.) 2016 © NATO CCD COE Publications PrinteD copies OF THIS PUBlication are availaBLE From: NATO CCD COE Publications Filtri tee 12, 10132 Tallinn, Estonia Phone: +372 717 6800 Fax: +372 717 6308 E-mail: [email protected] Web: www.ccdcoe.org Head of publishing: Jaanika Rannu Layout: Jaakko Matsalu LEGAL NOTICE: This publication contains opinions of the respective authors only. They do not necessarily reflect the policy or the opinion of NATO CCD COE, NATO, or any agency or any government. -
DB2 UDB V8 and Websphere V5 Performance Tuning and Operation Guide
Front cover DB2 UDB V8 and WebSphere V5 Performance Tuning and Operation Guide Best performance tuning practices for DB2 UDB and WAS integrated environment Gets you smoothly up and running DB2 UDB and WAS together Problem determination scenarios Whei-Jen Chen Peter Z. He Kang Yong Ying Sunminder S Saini Andreas Paulsen ibm.com/redbooks International Technical Support Organization DB2 UDB V8 and WebSphere V5 Performance Tuning and Operation Guide March 2004 SG24-7068-00 Note: Before using this information and the product it supports, read the information in “Notices” on page ix. First Edition (March 2004) This edition applies to IBM DB2 Universal Database Version 8.1 and IBM WebSphere Server V5.0.2, for use with IBM AIX 5.1 and Windows 2000 operating systems. © Copyright International Business Machines Corporation 2004. All rights reserved. Note to U.S. Government Users Restricted Rights -- Use, duplication or disclosure restricted by GSA ADP Schedule Contract with IBM Corp. Contents Notices . ix Trademarks . x Preface . xi The team that wrote this redbook. xii Become a published author . xiv Comments welcome. xv Chapter 1. Introduction. 1 1.1 IBM On Demand era . 2 1.1.1 The IBM On Demand operating environment . 2 1.2 Why DB2 UDB and WebSphere . 9 1.3 Key areas of performance . 10 1.3.1 Hardware. 11 1.3.2 Operating system . 11 1.3.3 Application Server and WebServer . 12 1.3.4 Database manager . 13 1.3.5 Application programs . 13 1.4 Performance tuning guidelines . 14 1.4.1 Initial efforts always pay . 14 1.4.2 Tune the identified constraints . -
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. -
Troubleshooting Websphere Applications
IBM WebSphere Application Server Network Deployment for Distributed Platforms, Version 8.0 Troubleshooting WebSphere applications Note Before using this information, be sure to read the general information under Notices” on page 349. Compilation date: July 29, 2011 © Copyright IBM Corporation 2011. US Government Users Restricted Rights – Use, duplication or disclosure restricted by GSA ADP Schedule Contract with IBM Corp. Contents How to send your comments ...........................vii Changes to serve you more quickly .........................ix Chapter 1. Troubleshooting ActivitySessions......................1 Troubleshooting ActivitySessions ...........................1 Chapter 2. Troubleshooting Application profiling ....................3 Application profiling exceptions ............................3 Chapter 3. Troubleshooting batch applications .....................5 Troubleshooting batch applications ..........................5 Adding log and trace settings to the batch environment ..................5 Batch common problems .............................5 Diagnosing problems using job logs .........................7 Chapter 4. Troubleshooting applications that use the Bean Validation API ..........9 Bean validation troubleshooting tips ..........................9 Chapter 5. Troubleshooting Client applications ....................11 Application client troubleshooting tips .........................11 Adding tracing and logging for stand-alone clients ....................17 Chapter 6. Troubleshooting Data access resources...................19 -
Q International Business Machines Corporation
Table of Contents UNITED STATES SECURITIES AND EXCHANGE COMMISSION WASHINGTON, DC 20549 FORM 10 - Q QUARTERLY REPORT PURSUANT TO SECTION 13 or 15(d) OF THE SECURITIES EXCHANGE ACT OF 1934 FOR THE QUARTER ENDED JUNE 30, 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) Indicate by check mark whether the registrant (1) has filed all reports required to be filed by Section l3 or l5(d) of the Securities Exchange Act of 1934 during the preceding 12 months (or for such shorter period that the registrant was required to file such reports), and (2) has been subject to such filing requirements for the past 90 days. Yes _ No Indicate by check mark whether the registrant has submitted electronically and posted on its corporate Web site, if any, every Interactive Data File required to be submitted and posted pursuant to Rule 405 of Regulation S-T (§232.405 of this chapter) during the preceding 12 months (or for such shorter period that the registrant was required to submit and post such files). Yes _ No Indicate by check mark whether the registrant is a large accelerated filer, an accelerated filer, a non-accelerated filer, smaller reporting company, or an emerging growth company. See the definitions of “large accelerated filer,” “accelerated filer,” “smaller reporting company,” and “emerging growth company” in Rule 12b-2 of the Exchange Act. -
Introducing Linux on IBM Z Systems IT Simplicity with an Enterprise Grade Linux Platform
Introducing Linux on IBM z Systems IT simplicity with an enterprise grade Linux platform Wilhelm Mild IBM Executive IT Architect for Mobile, z Systems and Linux © 2016 IBM Corporation IBM Germany What is Linux? . Linux is an operating system – Operating systems are tools which enable computers to function as multi-user, multitasking, and multiprocessing servers. – Linux is typically delivered in a Distribution with many useful tools and Open Source components. Linux is hardware agnostic by design – Linux runs on multiple hardware architectures which means Linux skills are platform independent. Linux is modular and built to coexist with other operating systems – Businesses are using Linux today. More and more businesses proceed with an evolutionary solution strategy based on Linux. 2 © 2016 IBM Corporation What is IBM z Systems ? . IBM z Systems is the family name used by IBM for its mainframe computers – The z Systems families were named for their availability – z stands for zero downtime. The systems are built with spare components capable of hot failovers to ensure continuous operations. IBM z Systems paradigm – The IBM z Systems family maintains full backward compatibility. In effect, current systems are the direct, lineal descendants of System/360, built in 1964, and the System/370 from the 1970s. Many applications written for these systems can still run unmodified on the newest z Systems over five decades later. IBM z Systems variety of Operating Systems – There are different traditional Operating Systems that run on z Systems like z/OS, z/VSE or TPF. With z/VM IBM delivers a mature Hypervisor to virtualize the operating systems. -
My Detailed Resume
William B. Davis, Jr. Windsor Heights, IA (515) 360-0445 linkedin.com/in/billdavisjr [email protected] SOFTWARE & WEB DEVELOPER Accomplished IT professional with extensive experience in all facets of software development lifecycle, user training, and support. Skilled at documentation and user interface design. Always interested in examining new technologies while keeping focus on long-term system planning and maintainability. TECHNICAL SKILLS ● Computers: PCs (Windows, Mac, other), minicomputers (DEC/HP VAX and Alpha), and mainframe (IBM 3090). ● Web technologies: HTML, CSS, Java Server Pages, ASP, and ASP.NET. ● Languages: Java & JSP, JavaScript, Visual BASIC 6 & VBA, VMS BASIC, Microsoft BASIC, Microsoft C, Lattice C, Perl, SQL, COBOL, Pascal, Ruby / Rails, various Assembly languages. ● Scripting: VMS DCL, IBM JCL, Microsoft VBA and VBScript, Unix bash, Windows/DOS batch scripting. ● Operating Systems: Windows, Mac OS & OS X, DEC/HP OpenVMS, Unix, AIX, Linux, other. ● Integrated Development Environments (IDEs): Eclipse, IBM RAD 6, ISPF & Panvalet, Visual -
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. -
Service Description IBM Kenexa Talent Acquisition This Service Description Describes the Cloud Service IBM Provides to Client
Service Description IBM Kenexa Talent Acquisition This Service Description describes the Cloud Service IBM provides to Client. Client means the company and its authorized users and recipients of the Cloud Service. The applicable Quotation and Proof of Entitlement (PoE) are provided as separate Transaction Documents 1. IBM Kenexa BrassRing on Cloud The IBM Kenexa Talent BrassRing on Cloud SaaS offering is made up of the following components: a. IBM Kenexa BrassRing on Cloud b. IBM Kenexa BrassRing on Cloud is a scalable, online tool that helps employers and recruiters centralize and manage the Talent Acquisition process across multiple company divisions or locations. Base offering features include: ● Creating and posting job requisitions ● Sourcing ● Talent Gateways for candidates to search jobs and submit interest ● Tracking applications and work flow ● Screening candidates ● Approval levels to facilitate the selection processes ● Standard and ad-hoc reporting capabilities ● Social media interfaces and mobile technology c. The IBM Kenexa BrassRing on Cloud will be provided in both a staging and production environments. The staging environment will be provided through the life of the contract for testing purposes. d. The IBM Kenexa BrassRing on Cloud Onboard can be branded to Client’s company logo and colors. 2. IBM Kenexa Talent Acquisition BrassRing Onboard The IBM Kenexa Talent Acquisition BrassRing Onboard SaaS offering is made up of the following components: a. IBM Kenexa BrassRing on Cloud IBM Kenexa BrassRing on Cloud is a scalable, online tool that helps employers and recruiters centralize and manage the Talent Acquisition process across multiple company divisions or locations. Base offering features include: ● Creating and posting job requisitions ● Sourcing ● Talent Gateways for candidates to search jobs and submit interest ● Tracking applications and work flow ● Screening candidates ● Approval levels to facilitate the selection processes ● Standard and ad-hoc reporting capabilities ● Social media interfaces and mobile technology b. -
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.