Tabla de Contenidos: “…1.13.6 Applying Cognition to Develop Health and Wellness -- 1.13.7 Welltok -- 1.13.8 CaféWell Concierge in Action -- 1.14 Advantages of Cognitive Computing -- 1.15 Features of Cognitive Computing -- 1.16 Limitations of Cognitive Computing -- 1.17 Conclusion -- References -- 2 Machine Learning and Big Data in Cyber-Physical System: Methods, Applications and Challenges -- 2.1 Introduction -- 2.2 Cyber-Physical System Architecture -- 2.3 Human-in-the-Loop Cyber-Physical Systems (HiLCPS) -- 2.4 Machine Learning Applications in CPS -- 2.4.1 K-Nearest Neighbors (K-NN) in CPS -- 2.4.2 Support Vector Machine (SVM) in CPS -- 2.4.3 Random Forest (RF) in CPS -- 2.4.4 Decision Trees (DT) in CPS -- 2.4.5 Linear Regression (LR) in CPS -- 2.4.6 Multi-Layer Perceptron (MLP) in CPS -- 2.4.7 Naive Bayes (NB) in CPS -- 2.5 Use of IoT in CPS -- 2.6 Use of Big Data in CPS -- 2.7 Critical Analysis -- 2.8 Conclusion -- References -- 3 HemoSmart: A Non-Invasive Device and Mobile App for Anemia Detection -- 3.1 Introduction -- 3.1.1 Background -- 3.1.2 Research Objectives -- 3.1.3 Research Approach -- 3.1.4 Limitations -- 3.2 Literature Review -- 3.3 Methodology -- 3.3.1 Methodological Approach -- 3.3.2 Methods of Analysis -- 3.4 Results -- 3.4.1 Impact of Project Outcomes -- 3.4.2 Results Obtained During the Methodology -- 3.5 Discussion -- 3.6 Originality and Innovativeness of the Research -- 3.6.1 Validation and Quality Control of Methods -- 3.6.2 Cost-Effectiveness of the Research -- 3.7 Conclusion -- References -- 4 Advanced Cognitive Models and Algorithms -- 4.1 Introduction -- 4.2 Microsoft Azure Cognitive Model -- 4.2.1 AI Services Broaden in Microsoft Azure -- 4.3 IBM Watson Cognitive Analytics -- 4.3.1 Cognitive Computing -- 4.3.2 Defining Cognitive Computing via IBM Watson Interface -- 4.3.3 IBM Watson Analytics -- 4.4 Natural Language Modeling…”

“…Across a range of industries, once-leading companies are in trouble: Walmart, IBM, Pfizer, HP, and The Gap to name a few. But others thrive. …”

Tabla de Contenidos: “…Indexing of Text Documents -- Web Search Engines -- Summary -- Key Terms -- Exercises -- Object-Based Databases -- Need for Object-Based Databases -- Object Relational Database Systems -- Object-Oriented Database Management Systems -- OODBMS versus ORDBMS -- Summary -- Key Terms -- Exercises -- XML -- Structured, Semi-Structured, and Unstructured Data -- Overview of XML -- Structure of XML Data -- DTD and XML Schema -- Querying XML Data -- Approaches to Store XML Data -- Uses of XML -- Summary -- Key Terms -- Exercises -- Leading Database Systems -- Postgre SQL -- Oracle -- Microsoft SQL Server -- IBM DB2 Universal Database -- Summary -- Key Terms -- Exercises -- Hospital Management System -- Aim -- Description -- Tables Description -- E-R Diagram -- Relational Database Schema for Case Study -- Implementation in SQL Server -- Railway Reservation -- Aim -- Description -- List of Assumptions -- E-R Diagram -- Description of Tables and Procedures -- Relational Database Schema for Case Study -- Microsoft Access as Database Management System -- Components of Access -- Starting Access -- Working with Tables -- Working with Queries -- Working with Forms -- Working with Reports -- SQL Extensions for Data Analysis -- Extensions to GROUP bY Clause -- New Analytic Functions -- Top-N Queries -- Windowing in SQL:1999 -- Abbreviations, Acronyms, and Symbols -- E. …”

“…Practical and proven AI deployment strategies for non-technical business leaders In Your AI Survival Guide: Scraped Knees, Bruised Elbows, and Lessons Learned from Real-World AI Deployments, business executive and technologist Sol Rashidi delivers an insightful and practical discussion of how to deploy artificial intelligence in your company. Having helped IBM launch Watson in 2011, Sol has first-hand knowledge of the ups, downs, and change management intricacies that can help you with a successful deployment beyond all the AI hype. …”

Tabla de Contenidos: “…. ; Banco ING y sede administrativa de NNH / (EEA) Erick van Egeraat associated architects bv ; Electronic Arts / Norman Foster and Partners ; ABB Konnex / Theo Hotz Architekten und Planer ; Sede mundial de IBM / Kohn Pedersen Fox Associates ; Centro tecnológico Festo / Architekturbüro Ulrich Jaschek ; Shaklee Corporation / Gensler; Centro tecnológico SGI / STUDIOS architecture ; DATAPEC / Kauffmann Theilig & Partner ; Tobias Grau / Bothe Richter Teherani Architekten ; Sede central de MABEG / Nicholas Grimshaw & Partners ; TBWA/Chiat/Day / Clive Wilkinson Architects ; Villa VPRO / MVRDV…”

Tabla de Contenidos: “…7.7 Case Study: Transmeta Crusoe7.8 Case Study: IBM AS/400; 7.9 Summary; Chapter Eight. System Virtual Machines; 8.1 Key Concepts; 8.2 Resource Virtualization-Processors; 8.3 Resource Virtualization-Memory; 8.4 Resource Virtualization-Input/Output; 8.5 Performance Enhancement of System Virtual Machines; 8.6 Case Study: VMware Virtual Platform; 8.7 Case Study: The Intel VT-x (Vanderpool) Technology; 8.8 Summary; Chapter Nine. …”

Tabla de Contenidos: “…Fault Detection via Redundant Execution; 6.1 Overview; 6.2 Sphere of Replication; 6.3 Fault Detection via Cycle-by-Cycle Lockstepping; 6.4 Lockstepping in the Hewlett-Packard NonStop Himalaya Architecture; 6.5 Lockstepping in the IBM Z-series Processors…”

Tabla de Contenidos: “…7.3 Programmed I/O -- 7.4 Interrupt-Driven I/O -- 7.5 Direct Memory Access -- 7.6 Direct Cache Access -- 7.7 I/O Channels and Processors -- 7.8 External Interconnection Standards -- 7.9 IBM zEnterprise EC12 I/O Structure -- 7.10 Key Terms, Review Questions, and Problems -- Chapter 8 Operating System Support -- 8.1 Operating System Overview -- 8.2 Scheduling -- 8.3 Memory Management -- 8.4 Intel x86 Memory Management -- 8.5 Arm Memory Management -- 8.6 Key Terms, Review Questions, and Problems -- Part Three Arithmetic and Logic -- Chapter 9 Number Systems -- 9.1 The Decimal System -- 9.2 Positional Number Systems -- 9.3 The Binary System -- 9.4 Converting Between Binary and Decimal -- 9.5 Hexadecimal Notation -- 9.6 Key Terms and Problems -- Chapter 10 Computer Arithmetic -- 10.1 The Arithmetic and Logic Unit -- 10.2 Integer Representation -- 10.3 Integer Arithmetic -- 10.4 Floating- Point Representation -- 10.5 Floating-Point Arithmetic -- 10.6 Key Terms, Review Questions, and Problems -- Chapter 11 Digital Logic -- 11.1 Boolean Algebra -- 11.2 Gates -- 11.3 Combinational Circuits -- 11.4 Sequential Circuits -- 11.5 Programmable Logic Devices -- 11.6 Key Terms and Problems -- Part Four The Central Processing Unit -- Chapter 12 Instruction Sets: Characteristics and Functions -- 12.1 Machine Instruction Characteristics -- 12.2 Types of Operands -- 12.3 Intel x86 and ARM Data Types -- 12.4 Types of Operations -- 12.5 Intel x86 and ARM Operation Types -- 12.6 Key Terms, Review Questions, and Problems -- Appendix 12A Little-, Big-, and Bi-Endian -- Chapter 13 Instruction Sets: Addressing Modes and Formats -- 13.1 Addressing Modes -- 13.2 x86 and ARM Addressing Modes -- 13.3 Instruction Formats -- 13.4 x86 and ARM Instruction Formats -- 13.5 Assembly Language -- 13.6 Key Terms, Review Questions, and Problems -- Chapter 14 Processor Structure and Function…”

“…After 40 years of improving processes for IBM, Ernst & Young, the Chinese government, and many other private and governmental organizations, Harrington has become the go-to leader in the field. …”

“…Event Success weaves together stories from the event leaders at brands like IBM, Twitter, SAP, Forbes, Bloomberg, and HubSpot, shares insights surfaced from surveys conducted with thousands of marketers, and surfaces the authors' own findings from the thousands of events hosted on the Bizzabo platform. …”

Tabla de Contenidos: “…Modeling and Analysis in the IBM Rational Rhapsody Developer MDE Tool -- 2.1.1. …”

Tabla de Contenidos: “…15.8.3 Advances 426 -- 15.8.4 Combination with Other Methods 427 -- 15.9 Discussion and Conclusion 428 -- Acknowledgments 429 -- References 430 -- 16 Computational Auditory Scene Analysis and Automatic Speech Recognition 433 / Arun Narayanan, DeLiang Wang -- 16.1 Introduction 433 -- 16.2 Auditory Scene Analysis 434 -- 16.3 Computational Auditory Scene Analysis 435 -- 16.3.1 Ideal Binary Mask 435 -- 16.3.2 Typical CASA Architecture 438 -- 16.4 CASA Strategies 440 -- 16.4.1 IBM Estimation Based on Local SNR Estimates 440 -- 16.4.2 IBM Estimation using ASA Cues 442 -- 16.4.3 IBM Estimation as Binary Classification 448 -- 16.4.4 Binaural Mask Estimation Strategies 451 -- 16.5 Integrating CASA with ASR 452 -- 16.5.1 Uncertainty Transform Model 454 -- 16.6 Concluding Remarks 458 -- Acknowledgment 458 -- References 458 -- 17 Uncertainty Decoding 463 / Hank Liao -- 17.1 Introduction 463 -- 17.2 Observation Uncertainty 465 -- 17.3 Uncertainty Decoding 466 -- 17.4 Feature-Based Uncertainty Decoding 468 -- 17.4.1 SPLICE with Uncertainty 470 -- 17.4.2 Front-End Joint Uncertainty Decoding 471 -- 17.4.3 Issues with Feature-Based Uncertainty Decoding 472 -- 17.5 Model-Based Joint Uncertainty Decoding 473 -- 17.5.1 Parameter Estimation 475 -- 17.5.2 Comparisons with Other Methods 476 -- 17.6 Noisy CMLLR 477 -- 17.7 Uncertainty and Adaptive Training 480 -- 17.7.1 Gradient-Based Methods 481 -- 17.7.2 Factor Analysis Approaches 482 -- 17.8 In Combination with Other Techniques 483 -- 17.9 Conclusions 484 -- References 485 -- Index 487.…”

“…This book recommends a simple pattern-based approach to architecting, designing and implementing security for workloads deployed on AWS, Microsoft Azure, Google Cloud, and IBM Cloud.The book discusses enterprise modernization trends and related security opportunities and challenges. …”

“…This revolutionary model for collaborative software development is being embraced and studied by many of the biggest players in the high-tech industry, from Sun Microsystems to IBM to Intel. The Cathedral & the Bazaar is a must for anyone who cares about the…”

“…Includes real-world stories and revealing anecdotes from CIOs and IT thought leaders from companies such as Disney, Dell, Shell Oil, Kimberly-Clark, Kaiser Permanente, Computer Associates, Boston Scientific, salesforce.com, General Motors, Pitney Bowes, IBM, Intel, Microsoft, SAS, Procter & Gamble, Ogilvy Worldwide, Scholastic, Stryker, Navistar and the U.S. …”

Tabla de Contenidos: “…LAS COMPAÑÍAS MÁS IMPORTANTES; 1.6.1. IBM; 1.6.2. Hewlett-Packard; 1.6.3. NCR; 1.6.4. …”

Tabla de Contenidos: “…-- Digital forensics methodology -- A brief history of digital forensics -- The need for digital forensics as technology advances -- Commercial tools available in the field of digital forensics -- Operating systems and open source tools for digital forensics -- Digital evidence and forensics toolkit Linux -- Computer Aided INvestigative Environment -- Kali Linux -- The need for multiple forensics tools in digital investigations -- Anti-forensics: threats to digital forensics -- Encryption -- Online and offline anonymity -- Summary -- Chapter 2: Installing Kali Linux -- Software version -- Downloading Kali Linux -- Installing Kali Linux -- Installing Kali Linux in VirtualBox -- Preparing the Kali Linux virtual machine -- Installing Kali Linux on the virtual machine -- Partitioning the disk -- Exploring Kali Linux -- Summary -- Chapter 3: Understanding Filesystems and Storage Media -- Storage media -- IBM and the history of storage media -- Removable storage media -- Magnetic tape drives -- Floppy disks -- Evolution of the floppy disk -- Optical storage media -- Compact disks -- Digital versatile disks -- Blu-ray disk -- Flash storage media -- USB flash drives -- Flash memory cards -- Hard disk drives -- IDE HDDs -- SATA HDDs -- Solid-state drives -- Filesystems and operating systems -- What about the data? …”

Tabla de Contenidos: “…11 Learning alliances -- The learning alliance challenge -- Managing learning alliances -- Learning alliances: decision-making steps -- Summary -- Case: Holst Centre -- 12 Co-branding alliances -- The co-branding alliance challenge -- Managing co-branding alliances -- Co-branding alliances: decision-making steps -- Summary -- Case: Heineken-James Bond -- 13 International alliances -- The international alliance challenge -- The nature of national culture -- Managing international alliances -- International alliances: decision-making steps -- Summary -- Case: Damen Shipyards -- 14 Asymmetrical alliances -- The asymmetrical alliance challenge -- Managing asymmetrical alliances -- Asymmetrical alliances: decision-making steps -- Summary -- Case: Disney-Pixar -- 15 Cross-sector alliances -- The cross-sector alliance challenge -- Managing cross-sector alliances -- Cross-sector alliances: decision-making steps -- Summary -- Case: Marks &amp -- Spencer-Oxfam -- 16 Coopetition alliances -- The coopetition alliance challenge -- Managing coopetition alliances -- Coopetition alliances: decision-making steps -- Summary -- Case: Reckitt Benckiser -- 17 Multi-partner alliances -- The multi-partner alliance challenge -- Managing multi-partner alliances -- Multi-partner alliances: decision-making steps -- Summary -- Case: Skyteam -- 18 Alliance portfolios -- The meaning of an alliance portfolio -- Alliance portfolio governance -- Alliance portfolio: decision-making steps -- Summary -- Case: General Electric -- 19 Alliance networks -- The meaning of an alliance network -- Alliance network governance -- Alliance network: decision-making steps -- Summary -- Case: IBM -- 20 Business ecosystems -- The business ecosystem challenge -- Business ecosystem attributes -- Managing business ecosystems -- Business ecosystems: decision-making steps -- Summary…”

“…In this collaborative work by an IBM Vice President of Big Data Products and an Oxford Research Fellow, this book presents inside stories that demonstrate the power and potential of Big Data within the business realm. …”

Tabla de Contenidos: “…Mistakes -- A Footnote to the IBM - Microsoft Story -- References and Recommended Reading -- 44. …”