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Cognitive Computing and Big Data Analytics
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. 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.
- GenresTechnology
288 pages, Paperback
First published February 12, 2015
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Displaying 1 - 2 of 2 reviews
January 8, 2017
As a mathematician watching AI for the last half a century, I found this piece of hype par for the course. Rather like controlled nuclear fusion, AI is capable of wonders, _real_soon_now_; 90% of the job is done, it's just a matter of investing enough effort to mop up the details.
Of course, AI has made big advances over that time, but the tone has remained constant, ever since we just needed to get a big enough dictionary on IBM cards to do machine translation. We actually can do (some) machine translation now, but between English and a language like Korean or Japanese, where you know who is being referred to by the respect levels in the verbs, it is as garbled as ever — and a bigger corpus will not help, until the system can figure out human seniority in the relevant culture. We are being promised translation of phone conversations, between languages that say "I will not go to Delhi if it is raining" and "If raining I will go to Delhi not". You have to wait for the end of the sentence before translating correctly into English … and spoken language rarely ends sentences.
This book utterly fails to distinguish between the considerable things that AI can do now, and the things that present approaches cannot even in principle achieve: major advances in theoretical understanding are needed. Thousands of man-years will be wasted attempting to polish a brick into a mirror.
We need a book like Perceptrons - Expanded Edition: An Introduction to Computational Geometry for the whole field, showing the limits as well as the power of current 'deep learning', 'deep doo-doo', etc.
Of course, AI has made big advances over that time, but the tone has remained constant, ever since we just needed to get a big enough dictionary on IBM cards to do machine translation. We actually can do (some) machine translation now, but between English and a language like Korean or Japanese, where you know who is being referred to by the respect levels in the verbs, it is as garbled as ever — and a bigger corpus will not help, until the system can figure out human seniority in the relevant culture. We are being promised translation of phone conversations, between languages that say "I will not go to Delhi if it is raining" and "If raining I will go to Delhi not". You have to wait for the end of the sentence before translating correctly into English … and spoken language rarely ends sentences.
This book utterly fails to distinguish between the considerable things that AI can do now, and the things that present approaches cannot even in principle achieve: major advances in theoretical understanding are needed. Thousands of man-years will be wasted attempting to polish a brick into a mirror.
We need a book like Perceptrons - Expanded Edition: An Introduction to Computational Geometry for the whole field, showing the limits as well as the power of current 'deep learning', 'deep doo-doo', etc.
March 25, 2016
Very helpful in grasping cognitive computing concept. Natural language processing is a fascinating field and with Watson, it has become available for commercial application. It is still emerging and as such, there is a significant gap between expectation and reality. The business benefit appears still aspirational. The book does a good job of explaining the concept for semi-professionals.
Displaying 1 - 2 of 2 reviews