Cognitive Computing and Big Data Analytics
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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 realityLearn the elements that make up a cognitive computing systemUnderstand the groundbreaking hardware and software technologies behind cognitive computingLearn to evaluate your own application portfolio to find the best candidates for pilot projectsLeverage 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.
ASIN : B00TNHWYGE
Publisher : Wiley; 1st edition (February 12, 2015)
Publication date : February 12, 2015
Language : English
File size : 2301 KB
Text-to-Speech : Enabled
Screen Reader : Supported
Enhanced typesetting : Enabled
X-Ray : Not Enabled
Word Wise : Not Enabled
Sticky notes : On Kindle Scribe
Print length : 254 pages
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12 reviews for Cognitive Computing and Big Data Analytics
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Marc –
Very Good Overview Of Core Cognitive Components, But Not A ‘How To’ Guide
As a practitioner who builds cognitive systems, I thought this book was very good read. Not because it is a hands on ‘how to’ book, which it is not. But because it discusses from a high level perspective, all of the diverse technologies that have to be used together, and fully integrated, within a cognitive computing platform. Throughout the book, real world use cases are discussed, as they relate to a specific component within such an environment. What I would like to see in a future revision, is a discussion of Prolog in the chapter on knowledge representation, as it is an International Standards Organization (ISO) AI programming language used throughout the world. In addition, the book has a slight bias, to cognitive computing a la big blue, as there is a chapter devoted to their product offering. I would like to see some additional material added that covers smaller startups that have more innovative technology, such as nTeligence and their cognition platform.
Chris Wicher –
Foundational Insight into the “future of cognitive computing”
This book delivers a comprehensive overview of the “spectrum” of cognitive computing and Big Data analytics. A must read for anyone who wants to understand the scope/range/facets/topics of cognitive computing. A must read for anyone in leadership who wants to leverage cognitive computing for customer/business value. A must read for anyone who wants to get a head start on one of the most important fields in the future of IT and customer/business value. Not only does the book cover the salient technical topics, but does so in a context of customer/business value. Of particular interest is the “look at the future”, since cognitive computing is clearly an important driver/enabler of same.
Data Guy –
Hurwitz and Company Explain Cognitive Computing
This book does a good job of instructing readers on cognitive computing: from the basics of what it is -to- its various components (e.g. machine learning, natural language processing, etc.) -to- its growth due to the rise of big data analytics, and even provides examples of projects showing how it works and it promise. As an IBM supporter I particularly enjoyed the chapter in IBM Watson. But really, the entire book is worthwhile and if you have any interest at all in how computers can gain cognitive capabilities, you should pick up a copy of this book.
James M McAssey –
Five Stars
Very thorough review of the technology. There is not much out there yet on the Cognitive Computing topic.
PRT –
Good survey of the field
This book is a comprehensive survey of terminology and concepts used in cognitive computing and deep learning products. It should be helpful to non-technical managers who are curious about how they might use these products. It will definitely give managers a baseline feel for the capabilities of today’s systems and will enable decision makers to have a deeper discussion with vendors.
MS –
A very good read on how Cognitive Computing is changing markets and industries
Augmenting human problem solving skills with learning machines will change markets and industries on the scale that we last saw with the Internet over 20 years ago. Judy, Marcia and Adrian do a great job of explaining, in practical terms, the elements of Cognitive Computing and why Cognitive systems will fulfill the promise of driving business transformation and actionable insights from Big Data. One of the top two reads if you are new to this space or trying to understand how to deepen your company’s understanding and application of this massively disruptive capability. Given the high failure rate of current Big Data projects (over 55% by some accounts), this is a very timely release.
Duvier Zuluaga –
Very good introductory book
Very good introductory book. Certainly it does not enter into technical details, but for a general overview of Cognitive Computing and its applications it is a good start
Brandon J –
A lot of fluff, not much science or implementation
This book is very introductory. Most of this information is available online for free on wikipedia. Many of the chapters are repetitive. Ultimately if you have a science background and are looking to enter this emerging field, this book won’t be that useful. If you’re a layperson, it might have *some* value.
Vanessa Sanchez –
Excelente libro
Amazon Customer –
Arrived on time and fairly good state, which was mentioned on the website.This is a very good book on Cognitive Computing, has a lot of examples, use cases as illustrations of the more theoretical background of machine learning, NLP, pattern recognition etc. techniques.
W. Petrie –
Some good chapters on WATSON and Heath Services systems. A little uneven, but worth a read.
Joe Cole –
Good book that makes you think about what Big Data is and how it impacts the global economy. Well worth a read.