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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 stepbystep through the design and testing of cognitive systems, and expert perspectives from organizations such as Cleveland Clinic, Memorial SloanKettering, as well as commercial vendors that are creating solutions. These organizations provide insight into the realworld 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 contextaware 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 organizationCognitive systems are rightly being hailed as the new era of computing. Learn how these technologies enable emerging firms to compete with entrenched giants, and forwardthinking 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 humanmachine interaction.
⚠️ WARNING (California Proposition 65):
This product may contain chemicals known to the State of California to cause cancer, birth defects, or other reproductive harm.
For more information, please visit www.P65Warnings.ca.gov.
- Q: What is the main focus of 'Cognitive Computing and Big Data Analytics'? A: The book primarily focuses on cognitive computing technologies and their applications in big data analytics, providing insights into building systems that learn from experience.
- Q: Who is the author of this book? A: The author of 'Cognitive Computing and Big Data Analytics' is Judith S. Hurwitz.
- Q: When was this book published? A: The book was published on March 2, 2015.
- Q: What are some key topics covered in the book? A: Key topics include knowledge representation, natural language processing, dynamic learning approaches, and detailed case examples from various industries.
- Q: Is this book suitable for beginners in cognitive computing? A: While the book provides comprehensive guidance, it is best suited for readers with some background in big data and analytics.
- Q: How many pages does the book have? A: The book contains 288 pages.
- Q: What type of binding does this book have? A: The book is available in paperback binding.
- Q: Can this book help in evaluating cognitive computing applications? A: Yes, it offers guidance on evaluating application portfolios to identify suitable candidates for pilot projects.
- Q: Does the book include real-world case studies? A: Yes, it includes detailed case studies from organizations like Cleveland Clinic and Memorial Sloan-Kettering.
- Q: What industries can benefit from cognitive computing as discussed in the book? A: The book discusses applications in various industries, including finance, healthcare, and manufacturing.