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[Y621.Ebook] Ebook Download Smart Machines: IBM's Watson and the Era of Cognitive Computing (Columbia Business School Publishing), by John E. Kelly III, Steve Hamm

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Smart Machines: IBM's Watson and the Era of Cognitive Computing (Columbia Business School Publishing), by John E. Kelly III, Steve Hamm

Smart Machines: IBM's Watson and the Era of Cognitive Computing (Columbia Business School Publishing), by John E. Kelly III, Steve Hamm



Smart Machines: IBM's Watson and the Era of Cognitive Computing (Columbia Business School Publishing), by John E. Kelly III, Steve Hamm

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Smart Machines: IBM's Watson and the Era of Cognitive Computing (Columbia Business School Publishing), by John E. Kelly III, Steve Hamm

We are crossing a new frontier in the evolution of computing and entering the era of cognitive systems. The victory of IBM's Watson on the television quiz show Jeopardy! revealed how scientists and engineers at IBM and elsewhere are pushing the boundaries of science and technology to create machines that sense, learn, reason, and interact with people in new ways to provide insight and advice.

In Smart Machines, John E. Kelly III, director of IBM Research, and Steve Hamm, a writer at IBM and a former business and technology journalist, introduce the fascinating world of "cognitive systems" to general audiences and provide a window into the future of computing. Cognitive systems promise to penetrate complexity and assist people and organizations in better decision making. They can help doctors evaluate and treat patients, augment the ways we see, anticipate major weather events, and contribute to smarter urban planning. Kelly and Hamm's comprehensive perspective describes this technology inside and out and explains how it will help us conquer the harnessing and understanding of "big data," one of the major computing challenges facing businesses and governments in the coming decades. Absorbing and impassioned, their book will inspire governments, academics, and the global tech industry to work together to power this exciting wave in innovation.

  • Sales Rank: #299007 in Books
  • Published on: 2013-10-15
  • Ingredients: Example Ingredients
  • Original language: English
  • Number of items: 1
  • Dimensions: 8.25" h x 5.75" w x .50" l, .75 pounds
  • Binding: Hardcover
  • 160 pages

Review

If you think the tidal wave of digital disruption is over, think again. Kelly and Hamm pull back the curtain on the next great wave of the computing revolution, which will transform how every industry and business operates in the near future.

(David Rogers, author of The Network Is Your Customer: Five Strategies to Thrive in a Digital Age)

As Watson's win against Jeopardy! champion Ken Jennings showed, IBM's research labs are doing some of the world's most revolutionary research in artificial intelligence and related fields. In this short and very accessible book, the authors outline this work and the wave of 'cognitive computing' that is about the break.

(James Hendler, Rensselaer Polytechnic Institute)

This book will give the careful reader an understanding of the immense possibilities offered by the intelligent collaboration of man and machine; armed with this knowledge, readers can then tackle the difficult but essential task of ensuring that these new cognitive technologies will, in practice, be devoted to bettering our lives.

(Ralph Gomory, Stern School of Business, New York University)

Technological change, from new materials to smart systems, is accelerating, and the latest advances fuel others. John E. Kelly and Steve Hamm show how these technologies will transform our jobs, our cities―even how we think.

(Stephen Baker, author of Final Jeopardy: Man vs. Machine and the Quest to Know Everything)

IBM's Watson is one of the most important technological breakthroughs in decades, and this is the go-to book for understanding what this new technology is all about and how it will change your life.

(Tyler Cowen, George Mason University, author of Average Is Over)

This book is a gem... Highly recommended.

(CHOICE)

About the Author

John E. Kelly III is senior vice president and director of IBM Research, one of the world's largest commercial research organizations, with more than 3,000 scientists and technical employees operating in twelve laboratories in ten countries. He also helps guide IBM's overall technical strategy. Kelly's top priorities as head of IBM Research are to stimulate innovation in key areas of information technology and quickly bring those innovations into the marketplace.

Steve Hamm is a writer and videographer for IBM after working in business and technology journalism. Most recently, he was a senior writer at BusinessWeek magazine. He is the author of two books, Bangalore Tiger: How Indian Tech Upstart Wipro Is Rewriting the Rules of Global Competition and The Race for Perfect: Inside the Quest to Design the Ultimate Portable Computer.

Most helpful customer reviews

12 of 14 people found the following review helpful.
An engaging guide to the future of knowledge, sensing, decision-making and discovery
By Stephen Baker
Imagine this. The baby is sleeping upstairs. One of those monitors in her room plays her noises down to the kitchen. The parents can hear her thrash and gurgle. But those sounds are in the background. More prominent is a computer voice that announces: "The baby wet her diapers at 1:23. She's been awake for four minutes." She cries. Is it time to nurse her already? No, the computer says. Her stomach hurts.

I picked up this idea from Smart Machines: IBM's Watson and the Era of Cognitive Computing. It is co-written by John Kelly, the director of IBM Research and Steve Hamm, my friend and former colleague at BusinessWeek.

I wrote a book about 2011 Watson (Final Jeopardy). So you might think I would find this material familiar. But it's a very useful, concise and engaging guide to the future of computing--which is also the future of knowledge, sensing, decision-making and discovery. I read it in about two hours. It led me from employment opportunities for Watson to frontiers of Big Data and the physics of new computing. It's hard to summarize the future of cognitive computing, but these two sentences come pretty close: "In the programmable-computing era, people have to adapt to the way computers work. In the cognitive era, computers will adapt to people."

Returning briefly to the baby example, the idea is that apps will eventually be able to crunch enough data to decode their noises and, effectively, put words in their mouths. Of course, not all babies will use the same noises. I imagine that the program will come with a standard template, and that parents will have ways to correct the machine's early mistakes, helping it to customize its analysis for each baby. And as those fixes make their way to the cloud service, it will grow more sophisticated, just like Google Voice or Siri.

Another similar challenge, I imagine, will be to interpret the noises and gestures of animals, and to get them also to talk to us. This animal analysis could probably benefit from smell sensors, another innovation previewed in the book. Such sensors could pick up molecules of chemicals signaling an animal's fear, confusion, hunger and sexual drive.

Do we want a machine announcing that Rover is hungry or horny or needs to go out for one reason or another? That could be too much information. But the marketplace will iron out those issues. For now, we at least know from a very good IBM book that the technology is en route.

15 of 18 people found the following review helpful.
Disappointing and simplistic...
By David A. Caswell
Very disappointing. This book reads like a primer on 'computers' for non-technical people circa 1985. It is simplistic and filled with speculative use cases of the most cliched kind - they even have a varient of the 'find an italian restaurant' use case in there. My guess is that this essentially intended as a kind of brochure for IBM services aimed at technically illiterate government procurement people. The only good thing I can say about this book is that the term 'cognitive computing' is a brilliant label for this new world of machine learning, big data and sensors/apps that is just beginning - all that stuff is obviously very real but you won't learn much about it here. I really wish Kelly and Hamm had been able to break through the IBM rah-rah and give us some real insight into how IBM is contributing to this new world.

5 of 6 people found the following review helpful.
(Way) Beyond Watson: what to expect in "smart machines"
By Angie Boyter
In Smart Machines, authors John Kelly III and Steve Hamm provide the general reader with a well-written, interesting guide to the future of cognitive computing, "smart machines" humans can use to "penetrate complexity and comprehend the world around us so that we can make better decisions."
The authors describe how computers work and how many experts imagine computers will have to work in the future to achieve "smartness". They discuss tools that are being developed today, current research that looks auspicious for future developments, and areas for future research that they believe to hold promise. The emphasis is on work done at IBM, but efforts by others are also mentioned. A central theme to the new technology is how to cope with the vast increase in data available, and the main approach discussed is various ways to move processing closer to the data to eliminate the time lost in moving the data to the processor.
Kelly and Hamm envision a cognitive system as analogous to Russian nesting dolls and devote separate chapters to each. The layers are:
Chapter 2: how humans interact with computers and get them to do what we want,
Chapter 3: how we organize and interpret data,
Chapter 4: (possibly my favorite chapter) how we enhance computers to have the machine equivalent of ALL of our senses, not just the obvious sight and hearing, but also touch, taste, and smell.
Chapter 5: how we put together the physical components of a computer, the computer architecture, and
Chapter 6: how we build the core components to manipulate matter at the molecular and atomic scale, exploit nanotechnology, and invent a new physics of computing in order to increase processing speeds significantly.
The final chapter imagines how cognitive technology can help run the city of the future.
This is a survey of a rather large field (or fields); readers who become interested in some aspect will want to follow up references to get details. To those not familiar with work on intelligent machines it is a fascinating introduction. Those who have already read in the field are not likely to learn anything new, but the material is structured in a way that brings coherence to a subject that specialists tend to see only in bits and pieces. How good is their vision? Come back in 25 years, and our smart machines will help us decide.

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