A comprehensive guide to learning technologies that unlock the
value in big data
Cognitive 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.
Cuprins
Introduction xvii
Chapter 1 The Foundation of Cognitive Computing 1
Chapter 2 Design Principles for Cognitive Systems 21
Chapter 3 Natural Language Processing in Support of a Cognitive System 39
Chapter 4 The Relationship Between Big Data and Cognitive Computing 55
Chapter 5 Representing Knowledge in Taxonomies and Ontologies 71
Chapter 6 Applying Advanced Analytics to Cognitive Computing 87
Chapter 7 The Role of Cloud and Distributed Computing in Cognitive Computing 109
Chapter 8 The Business Implications of Cognitive Computing 125
Chapter 9 IBM’s Watson as a Cognitive System 137
Chapter 10 The Process of Building a Cognitive Application 157
Chapter 11 Building a Cognitive Healthcare Application 175
Chapter 12 Smarter Cities: Cognitive Computing in Government 197
Chapter 13 Emerging Cognitive Computing Areas 221
Chapter 14 Future Applications for Cognitive Computing 235
Glossary 251
Index 261
Despre autor
Judith S. Hurwitz is President and CEO of Hurwitz & Associates, a research and consulting firm focused on emerging technology, and is a leading strategy consultant.
Marcia Kaufman is a Principal Analyst and COO of Hurwitz & Associates, with leadership in big data and advanced analytics, information management, and business strategy.
Adrian Bowles is President and CEO of STORM Insights, Inc., a market analytics firm providing research and advisory services for buyers, sellers, and investors in emerging technology markets.
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