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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.

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MASTER THE ABILITY TO APPLY BIG DATA ANALYTICS TO MASSIVE AMOUNTS OF STRUCTURED AND UNSTRUCTURED DATA

Cognitive computing is a technique that allows humans and computers to collaborate in order to gain insights and knowledge from data by uncovering patterns and anomalies. This comprehensive guide explains the underlying technologies, such as artificial intelligence, machine learning, natural language processing, and big data analytics. It then demonstrates how you can use these technologies to transform your organization.

You will explore how different vendors and different industries are applying this emerging technology to help customers gain insights and take actions from their data. You will study detailed case histories from the financial, healthcare, and manufacturing industries, with step-by-step examinations of the design and testing of cognitive systems. You will benefit from the expert perspectives of organizations such as Welltok, Cleveland Clinic, and Memorial Sloan-Kettering as well as commercial vendors such as IBM, Google, Amazon, Hitachi, Dell, Cisco, and Numenta that are creating solutions, and demonstrating real-world implementation of cognitive computing systems. This book will go into detail about IBM’s Watson platform and how it has influenced the development of cognitive computing.

Cognitive systems are ushering in a new era of computing. In this book, you will learn how these technologies can enable emerging firms to compete with entrenched giants and forward-thinking, established organizations to disrupt their industries. You will gain both the theoretical and practical guidance you need to apply this technology, including:

• How cognitive computing is evolving from promise to reality
• Foundational services that are part of a cognitive computing system
• The distinguishing features of a cognitive computing system and how they work
• How to determine the underlying advanced analytics that support the development of a cognitive system
• The role of cloud and distributed computing
• Techniques for building a cognitive application
• Ways to leverage cognitive computing capabilities to transform your organization

정보제공 :

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

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