Book description
A comprehensive guide to learning technologies that unlock the value in big dataCognitive Computing provides detailed guidance toward building a new class of systems that learn from experience and derive insights to unlock the value of big data. This book helps technologists understand cognitive computing's underlying technologies, from knowledge representation techniques and natural language processing algorithms to dynamic learning approaches based on accumulated evidence, rather than reprogramming. Detailed case examples from the financial, healthcare, and manufacturing walk readers step-by-step through the design and testing of cognitive systems, and expert perspectives from organizations such as Cleveland Clinic, Memorial Sloan-Kettering, as well as commercial vendors that are creating solutions. These organizations provide insight into the real-world implementation of cognitive computing systems. The IBM Watson cognitive computing platform is described in a detailed chapter because of its significance in helping to define this emerging market. In addition, the book includes implementations of emerging projects from Qualcomm, Hitachi, Google and Amazon.
Today's cognitive computing solutions build on established concepts from artificial intelligence, natural language processing, ontologies, and leverage advances in big data management and analytics. They foreshadow an intelligent infrastructure that enables a new generation of customer and context-aware smart applications in all industries.
Cognitive Computing is a comprehensive guide to the subject, providing both the theoretical and practical guidance technologists need.
- Discover how cognitive computing evolved from promise to reality
- Learn the elements that make up a cognitive computing system
- Understand the groundbreaking hardware and software technologies behind cognitive computing
- Learn to evaluate your own application portfolio to find the best candidates for pilot projects
- Leverage cognitive computing capabilities to transform the organization
Cognitive systems are rightly being hailed as the new era of computing. Learn how these technologies enable emerging firms to compete with entrenched giants, and forward-thinking established firms to disrupt their industries. Professionals who currently work with big data and analytics will see how cognitive computing builds on their foundation, and creates new opportunities. Cognitive Computing provides complete guidance to this new level of human-machine interaction.
Table of contents
- Introduction
-
Chapter 1 The Foundation of Cognitive Computing
- Cognitive Computing as a New Generation
- The Uses of Cognitive Systems
- What Makes a System Cognitive?
- Gaining Insights from Data
- Artificial Intelligence as the Foundation of Cognitive Computing
- Understanding Cognition
- Two Systems of Judgment and Choice
- Understanding Complex Relationships Between Systems
- The Elements of a Cognitive System
- Summary
- Chapter 2 Design Principles for Cognitive Systems
- Chapter 3 Natural Language Processing in Support of a Cognitive System
- Chapter 4 The Relationship Between Big Data and Cognitive Computing
- Chapter 5 Representing Knowledge in Taxonomies and Ontologies
- Chapter 6 Applying Advanced Analytics to Cognitive Computing
-
Chapter 7 The Role of Cloud and Distributed Computing in Cognitive Computing
- Leveraging Distributed Computing for Shared Resources
- Why Cloud Services Are Fundamental to Cognitive Computing Systems
- Characteristics of Cloud Computing
- Cloud Computing Models
- Delivery Models of the Cloud
- Managing Workloads
- Security and Governance
- Data Integration and Management in the Cloud
- Summary
-
Chapter 8 The Business Implications of Cognitive Computing
- Preparing for Change
- Advantages of New Disruptive Models
- What Does Knowledge Mean to the Business?
- The Difference with a Cognitive Systems Approach
- Meshing Data Together Differently
- Using Business Knowledge to Plan for the Future
- Answering Business Questions in New Ways
- Building Business Specific Solutions
- Making Cognitive Computing a Reality
- How a Cognitive Application Can Change a Market
- Summary
- Chapter 9 IBM’s Watson as a Cognitive System
- Chapter 10 The Process of Building a Cognitive Application
-
Chapter 11 Building a Cognitive Healthcare Application
- Foundations of Cognitive Computing for Healthcare
- Constituents in the Healthcare Ecosystem
- Learning from Patterns in Healthcare Data
- Building on a Foundation of Big Data Analytics
- Cognitive Applications across the Healthcare Ecosystem
- Starting with a Cognitive Application for Healthcare
- Using Cognitive Applications to Improve Health and Wellness
- Using a Cognitive Application to Enhance the Electronic Medical Record
- Using a Cognitive Application to Improve Clinical Teaching
- Summary
-
Chapter 12 Smarter Cities: Cognitive Computing in Government
- How Cities Have Operated
- The Characteristics of a Smart City
- The Rise of the Open Data Movement Will Fuel Cognitive Cities
- The Internet of Everything and Smarter Cities
- Understanding the Ownership and Value of Data
- Cities Are Adopting Smarter Technology Today for Major Functions
- Smarter Approaches to Preventative Healthcare
- Building a Smarter Transportation Infrastructure
- Using Analytics to Close the Workforce Skills Gap
- Creating a Cognitive Community Infrastructure
- The Next Phase of Cognitive Cities
- Summary
- Chapter 13 Emerging Cognitive Computing Areas
- Chapter 14 Future Applications for Cognitive Computing
- Glossary
- Title page
- Copyright
- Dedication
- About the Technical Editors
- About the Authors
- Acknowledgments
- EULA
Product information
- Title: Cognitive Computing and Big Data Analytics
- Author(s):
- Release date: March 2015
- Publisher(s): Wiley
- ISBN: 9781118896624
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