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What Machines Can T Do


What Machines Can T Do
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What To Do When Machines Do Everything


What To Do When Machines Do Everything
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Author : Malcolm Frank
language : en
Publisher: John Wiley & Sons
Release Date : 2017-01-18

What To Do When Machines Do Everything written by Malcolm Frank and has been published by John Wiley & Sons this book supported file pdf, txt, epub, kindle and other format this book has been release on 2017-01-18 with Business & Economics categories.


“Refreshingly thought-provoking...” – The Financial Times The essential playbook for the future of your business What To Do When Machines Do Everything is a guidebook to succeeding in the next generation of the digital economy. When systems running on Artificial Intelligence can drive our cars, diagnose medical patients, and manage our finances more effectively than humans it raises profound questions on the future of work and how companies compete. Illustrated with real-world cases, data, and insight, the authors provide clear strategic guidance and actionable steps to help you and your organization move ahead in a world where exponentially developing new technologies are changing how value is created. Written by a team of business and technology expert practitioners—who also authored Code Halos: How the Digital Lives of People, Things, and Organizations are Changing the Rules of Business—this book provides a clear path to the future of your work. The first part of the book examines the once in a generation upheaval most every organization will soon face as systems of intelligence go mainstream. The authors argue that contrary to the doom and gloom that surrounds much of IT and business at the moment, we are in fact on the cusp of the biggest wave of opportunity creation since the Industrial Revolution. Next, the authors detail a clear-cut business model to help leaders take part in this coming boom; the AHEAD model outlines five strategic initiatives—Automate, Halos, Enhance, Abundance, and Discovery—that are central to competing in the next phase of global business by driving new levels of efficiency, customer intimacy and innovation. Business leaders today have two options: be swallowed up by the ongoing technological evolution, or ride the crest of the wave to new profits and better business. This book shows you how to avoid your own extinction event, and will help you; Understand the untold full extent of technology's impact on the way we work and live. Find out where we're headed, and how soon the future will arrive Leverage the new emerging paradigm into a sustainable business advantage Adopt a strategic model for winning in the new economy The digital world is already transforming how we work, live, and shop, how we are governed and entertained, and how we manage our money, health, security, and relationships. Don't let your business—or your career—get left behind. What To Do When Machines Do Everything is your strategic roadmap to a future full of possibility and success. Or peril.



What Machines Can T Do Yet In Real Work Settings


What Machines Can T Do Yet In Real Work Settings
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Author : Thomas H. Davenport
language : en
Publisher:
Release Date : 2022

What Machines Can T Do Yet In Real Work Settings written by Thomas H. Davenport and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2022 with Organizational change categories.


There is no impending threat of large-scale automation and displacement of human labor on the horizon. That's the conclusion reached by the authors after reviewing the research around smart machines in workplaces, and speaking with leaders in hundreds of organizations. In an adaption of their book Working With AI: Real Stories of Human-Machine Collaboration, they lay out where they see limitations of AI in the workplace and where practitioners can expect job continuity for the immediate future.



Futureproof


Futureproof
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Author : Kevin Roose
language : en
Publisher: Random House
Release Date : 2021-03-09

Futureproof written by Kevin Roose and has been published by Random House this book supported file pdf, txt, epub, kindle and other format this book has been release on 2021-03-09 with Technology & Engineering categories.


A practical, deeply reported survival guide for the age of AI, written by the New York Times tech columnist who has introduced millions to the promise and pitfalls of artificial intelligence. “Artificial intelligence can be terrifying, but Kevin Roose provides a clear, compelling strategy for surviving the next wave of technology with our jobs—and souls—intact.”—Charles Duhigg, author of The Power of Habit It’s time to get real about AI. After decades of hype and sci-fi fantasies, AI—artificial intelligence—is leaping out of research labs and into the center of our lives. Millions of people now use tools like ChatGPT and DALL-E 2 to write essays, create art and finish coding projects. AI programs are already beating humans in fields like law, medicine and entertainment, and they’re getting better every day. But AI doesn’t just threaten our jobs. It shapes our entire human experience, steering our behavior and influencing our choices about which TV shows to watch, which clothes to buy, and which politicians to vote for. And while many experts argue about whether a robot apocalypse is near, one critical question has gone unanswered: In a world where AI is ascendant, how can humans survive and thrive? In Futureproof: 9 Rules for Humans in the Age of Automation, New York Times technology columnist Kevin Roose shares the secrets of people and organizations that have successfully navigated waves of technological change, and explains what skills are necessary to stay ahead of the curve today, with lessons like • Be surprising, social, and scarce • Resist machine drift • Leave handprints • Demote your devices • Treat AI like a chimp army Roose rejects the conventional wisdom that in order to compete with AI, we have to become more like robots ourselves—hyper-efficient, data-driven workhorses. Instead, he says, we should focus on being more human, and doing the kinds of creative, inspiring, and meaningful things even the most advanced algorithms can’t do.



What Machines Can T Do


What Machines Can T Do
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Author : Robert J. Thomas
language : en
Publisher: Univ of California Press
Release Date : 1994-03-25

What Machines Can T Do written by Robert J. Thomas and has been published by Univ of California Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 1994-03-25 with Business & Economics categories.


"Thomas, a faculty member at MIT, urges managers not to put blind hopes into smarter machines but to find smarter ways to organize people. Rather than recoil from the idea that technological change is political, he argues, theorists and practitioners alike should use political differences to inspire new uses for technology and more creative forms of industrial organization. In an imaginative final chapter, Thomas proposes an "aesthetic of process" for coordinating the aspirations of those who work in the factory, the engineering lab, and the corporate boardroom." "As U.S. companies battle for survival in an era of growing global competition, What Machines Can't Do offers valuable insights into the ways we organize work. Challenging conventional theories and provoking controversy in its call for change, it is essential reading for anyone interested in the impact of technology on jobs and organizations and in the future of the industrial enterprise."--BOOK JACKET.



What Computers Still Can T Do


What Computers Still Can T Do
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Author : Hubert L. Dreyfus
language : en
Publisher: MIT Press
Release Date : 1992-10-30

What Computers Still Can T Do written by Hubert L. Dreyfus and has been published by MIT Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 1992-10-30 with Computers categories.


When it was first published in 1972, Hubert Dreyfus's manifesto on the inherent inability of disembodied machines to mimic higher mental functions caused an uproar in the artificial intelligence community. The world has changed since then. Today it is clear that "good old-fashioned AI," based on the idea of using symbolic representations to produce general intelligence, is in decline (although several believers still pursue its pot of gold), and the focus of the Al community has shifted to more complex models of the mind. It has also become more common for AI researchers to seek out and study philosophy. For this edition of his now classic book, Dreyfus has added a lengthy new introduction outlining these changes and assessing the paradigms of connectionism and neural networks that have transformed the field. At a time when researchers were proposing grand plans for general problem solvers and automatic translation machines, Dreyfus predicted that they would fail because their conception of mental functioning was naive, and he suggested that they would do well to acquaint themselves with modern philosophical approaches to human beings. What Computers Can't Do was widely attacked but quietly studied. Dreyfus's arguments are still provocative and focus our attention once again on what it is that makes human beings unique.



What To Do When Machines Do Everything


What To Do When Machines Do Everything
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Author : Malcolm Frank
language : en
Publisher: John Wiley & Sons
Release Date : 2017-02-13

What To Do When Machines Do Everything written by Malcolm Frank and has been published by John Wiley & Sons this book supported file pdf, txt, epub, kindle and other format this book has been release on 2017-02-13 with Business & Economics categories.


“Refreshingly thought-provoking...” – The Financial Times The essential playbook for the future of your business What To Do When Machines Do Everything is a guidebook to succeeding in the next generation of the digital economy. When systems running on Artificial Intelligence can drive our cars, diagnose medical patients, and manage our finances more effectively than humans it raises profound questions on the future of work and how companies compete. Illustrated with real-world cases, data, and insight, the authors provide clear strategic guidance and actionable steps to help you and your organization move ahead in a world where exponentially developing new technologies are changing how value is created. Written by a team of business and technology expert practitioners—who also authored Code Halos: How the Digital Lives of People, Things, and Organizations are Changing the Rules of Business—this book provides a clear path to the future of your work. The first part of the book examines the once in a generation upheaval most every organization will soon face as systems of intelligence go mainstream. The authors argue that contrary to the doom and gloom that surrounds much of IT and business at the moment, we are in fact on the cusp of the biggest wave of opportunity creation since the Industrial Revolution. Next, the authors detail a clear-cut business model to help leaders take part in this coming boom; the AHEAD model outlines five strategic initiatives—Automate, Halos, Enhance, Abundance, and Discovery—that are central to competing in the next phase of global business by driving new levels of efficiency, customer intimacy and innovation. Business leaders today have two options: be swallowed up by the ongoing technological evolution, or ride the crest of the wave to new profits and better business. This book shows you how to avoid your own extinction event, and will help you; Understand the untold full extent of technology's impact on the way we work and live. Find out where we're headed, and how soon the future will arrive Leverage the new emerging paradigm into a sustainable business advantage Adopt a strategic model for winning in the new economy The digital world is already transforming how we work, live, and shop, how we are governed and entertained, and how we manage our money, health, security, and relationships. Don't let your business—or your career—get left behind. What To Do When Machines Do Everything is your strategic roadmap to a future full of possibility and success. Or peril.



The Myth Of Artificial Intelligence


The Myth Of Artificial Intelligence
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Author : Erik J. Larson
language : en
Publisher: Harvard University Press
Release Date : 2021-04-06

The Myth Of Artificial Intelligence written by Erik J. Larson and has been published by Harvard University Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2021-04-06 with Computers categories.


“Exposes the vast gap between the actual science underlying AI and the dramatic claims being made for it.” —John Horgan “If you want to know about AI, read this book...It shows how a supposedly futuristic reverence for Artificial Intelligence retards progress when it denigrates our most irreplaceable resource for any future progress: our own human intelligence.” —Peter Thiel Ever since Alan Turing, AI enthusiasts have equated artificial intelligence with human intelligence. A computer scientist working at the forefront of natural language processing, Erik Larson takes us on a tour of the landscape of AI to reveal why this is a profound mistake. AI works on inductive reasoning, crunching data sets to predict outcomes. But humans don’t correlate data sets. We make conjectures, informed by context and experience. And we haven’t a clue how to program that kind of intuitive reasoning, which lies at the heart of common sense. Futurists insist AI will soon eclipse the capacities of the most gifted mind, but Larson shows how far we are from superintelligence—and what it would take to get there. “Larson worries that we’re making two mistakes at once, defining human intelligence down while overestimating what AI is likely to achieve...Another concern is learned passivity: our tendency to assume that AI will solve problems and our failure, as a result, to cultivate human ingenuity.” —David A. Shaywitz, Wall Street Journal “A convincing case that artificial general intelligence—machine-based intelligence that matches our own—is beyond the capacity of algorithmic machine learning because there is a mismatch between how humans and machines know what they know.” —Sue Halpern, New York Review of Books



Still Think Robots Can T Do Your Job


Still Think Robots Can T Do Your Job
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Author : Riccardo Campa
language : en
Publisher: D Editore
Release Date : 2018-01-01

Still Think Robots Can T Do Your Job written by Riccardo Campa and has been published by D Editore this book supported file pdf, txt, epub, kindle and other format this book has been release on 2018-01-01 with Technology & Engineering categories.


Is Artificial Intelligence qualitatively different from other means of economizing the use of labor? Are we on the edge of a jobless society? If yes, are we ready for it? These are a few of the questions discussed in this collection of academic works. This book traces a brief history of the concept of technological unemployment; proposes a short-term scenario analysis concerning the relations between automation, education, and unemployment; analyzes the most recent literature on social robotics; examines the possible futures generated by the development of intelligent machines; shows the relation between automation and unemployment in an Italian case study; considers the impact if machines become effective pursuers of knowledge or even conscious; and addresses the role of serendipity in the development of science and technology.



What Computers Can T Do


What Computers Can T Do
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Author : Hubert L. Dreyfus
language : en
Publisher:
Release Date : 1979

What Computers Can T Do written by Hubert L. Dreyfus and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 1979 with Artificial intelligence categories.




What Computers Can T Do


What Computers Can T Do
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Author : Hubert L. Dreyfus
language : en
Publisher: HarperCollins Publishers
Release Date : 1972

What Computers Can T Do written by Hubert L. Dreyfus and has been published by HarperCollins Publishers this book supported file pdf, txt, epub, kindle and other format this book has been release on 1972 with Computers categories.