Cognitive Computing and Big Data Analytics 1st Edition

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.

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.

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.

Very thorough review of the technology. There is not much out there yet on the Cognitive Computing topic.

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.

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.

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

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.

Excelente libro

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.

Some good chapters on WATSON and Heath Services systems. A little uneven, but worth a read.

Good book that makes you think about what Big Data is and how it impacts the global economy. Well worth a read.