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Author: Malcolm Frank Publisher: John Wiley & Sons ISBN: 111927866X Category : Business & Economics Languages : en Pages : 262
Book Description
“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.
Author: Malcolm Frank Publisher: John Wiley & Sons ISBN: 111927866X Category : Business & Economics Languages : en Pages : 262
Book Description
“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.
Author: Malcolm Frank Publisher: John Wiley & Sons ISBN: 1119278686 Category : Business & Economics Languages : en Pages : 231
Book Description
“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.
Author: Luke Dormehl Publisher: Penguin ISBN: 1524704415 Category : Computers Languages : en Pages : 288
Book Description
A fascinating look at Artificial Intelligence, from its humble Cold War beginnings to the dazzling future that is just around the corner. When most of us think about Artificial Intelligence, our minds go straight to cyborgs, robots, and sci-fi thrillers where machines take over the world. But the truth is that Artificial Intelligence is already among us. It exists in our smartphones, fitness trackers, and refrigerators that tell us when the milk will expire. In some ways, the future people dreamed of at the World's Fair in the 1960s is already here. We're teaching our machines how to think like humans, and they're learning at an incredible rate. In Thinking Machines, technology journalist Luke Dormehl takes you through the history of AI and how it makes up the foundations of the machines that think for us today. Furthermore, Dormehl speculates on the incredible--and possibly terrifying--future that's much closer than many would imagine. This remarkable book will invite you to marvel at what now seems commonplace and to dream about a future in which the scope of humanity may need to broaden itself to include intelligent machines.
Author: Matt Ridley Publisher: HarperCollins ISBN: 0062296027 Category : Business & Economics Languages : en Pages : 368
Book Description
“Mr. Ridley’s best and most important work to date…there is something profoundly democratic and egalitarian—even anti-elitist—in this bottom-up approach: Everyone can have a role in bringing about change.” —Wall Street Journal The New York Times bestselling author of The Rational Optimist and Genome returns with a fascinating argument for evolution that definitively dispels a dangerous, widespread myth: that we can command and control our world Human society evolves. Change in technology, language, morality, and society is incremental, inexorable, gradual, and spontaneous. It follows a narrative, going from one stage to the next, and it largely happens by trial and error—a version of natural selection. Much of the human world is the result of human action but not of human design: it emerges from the interactions of millions, not from the plans of a few. Drawing on fascinating evidence from science, economics, history, politics, and philosophy, Matt Ridley demolishes conventional assumptions that the great events and trends of our day are dictated by those on high. On the contrary, our most important achievements develop from the bottom up. The Industrial Revolution, cell phones, the rise of Asia, and the Internet were never planned; they happened. Languages emerged and evolved by a form of natural selection, as did common law. Torture, racism, slavery, and pedophilia—all once widely regarded as acceptable—are now seen as immoral despite the decline of religion in recent decades. In this wide-ranging, erudite book, Ridley brilliantly makes the case for evolution, rather than design, as the force that has shaped much of our culture, our technology, our minds, and that even now is shaping our future.
Author: Audrey Watters Publisher: MIT Press ISBN: 026254606X Category : Education Languages : en Pages : 325
Book Description
How ed tech was born: Twentieth-century teaching machines--from Sidney Pressey's mechanized test-giver to B. F. Skinner's behaviorist bell-ringing box. Contrary to popular belief, ed tech did not begin with videos on the internet. The idea of technology that would allow students to "go at their own pace" did not originate in Silicon Valley. In Teaching Machines, education writer Audrey Watters offers a lively history of predigital educational technology, from Sidney Pressey's mechanized positive-reinforcement provider to B. F. Skinner's behaviorist bell-ringing box. Watters shows that these machines and the pedagogy that accompanied them sprang from ideas--bite-sized content, individualized instruction--that had legs and were later picked up by textbook publishers and early advocates for computerized learning. Watters pays particular attention to the role of the media--newspapers, magazines, television, and film--in shaping people's perceptions of teaching machines as well as the psychological theories underpinning them. She considers these machines in the context of education reform, the political reverberations of Sputnik, and the rise of the testing and textbook industries. She chronicles Skinner's attempts to bring his teaching machines to market, culminating in the famous behaviorist's efforts to launch Didak 101, the "pre-verbal" machine that taught spelling. (Alternate names proposed by Skinner include "Autodidak," "Instructomat," and "Autostructor.") Telling these somewhat cautionary tales, Watters challenges what she calls "the teleology of ed tech"--the idea that not only is computerized education inevitable, but technological progress is the sole driver of events.
Author: Ian McEwan Publisher: Anchor ISBN: 0385545126 Category : Fiction Languages : en Pages : 291
Book Description
From the Booker Prize winner and bestselling author of Atonement—”a sharply intelligent novel of ideas” (The New York Times) that asks whether a machine can understand the human heart, or whether we are the ones who lack understanding. Set in an uncanny alternative 1982 London—where Britain has lost the Falklands War, Margaret Thatcher battles Tony Benn for power, and Alan Turing achieves a breakthrough in artificial intelligence—Machines Like Me powerfully portrays two lovers who will be tested beyond their understanding. Charlie, drifting through life and dodging full-time employment, is in love with Miranda, a bright student who lives with a terrible secret. When Charlie comes into money, he buys Adam, one of the first generation of synthetic humans. With Miranda's assistance, he codesigns Adam's personality. The near-perfect human that emerges is beautiful, strong, and smart—and a love triangle soon forms. Ian McEwan's subversive, gripping novel poses fundamental questions: What makes us human—our outward deeds or our inner lives? Could a machine understand the human heart? This provocative and thrilling tale warns against the power to invent things beyond our control. Don’t miss Ian McEwan’s new novel, Lessons, coming in September!
Author: Paul Roehrig Publisher: John Wiley & Sons ISBN: 1119785928 Category : Business & Economics Languages : en Pages : 176
Book Description
"In their 'deliberately short book' IT analysts, management consultants and technology practitioners Roehrig and Pring explore how big a beast technology has become, and how we can tame it to maintain our freedom and privacy while still realising its benefits. The pandemic has shown just how much we rely on technology and how addictive it has become...The authors address the important questions...[and] urge us not to slay the monster but rather to leverage its power and reorient technology as a tool for good." —Financial Times Monster explains how we can responsibly engage with technology, and avoid its darker tendencies, while accepting its necessary gifts. The authors, insiders at one of the world's largest tech consulting firms, give a unique take on: The addictive nature of tech and how to fight it The growing backlash against big tech--where it's right and what it misses Crucial steps for taming technology's role in your life and in your organization--without becoming a modern Luddite Written for managers, leaders, and employees at companies of all sizes and in all industries, Monster will help you understand and take control of technology's powerful role in your life and your organization. "You must read this book." —Michael Schrage, Research Fellow, MIT Sloan School Initiative on the Digital Economy "Pithy insights and recommendations on helping tech fulfill its potential as a force for good." —Erik Brynjolfsson, Director of the Stanford Digital Economy Lab and co-author of The Second Machine Age "Making technology serve—not subvert—the public interest requires better leaders, not more engineers and coders. Monster explains how to become one of those leaders." —Rosabeth Moss Kanter, Harvard Business School Professor and author of Think Outside the Building "A bracing new book about some of the most pressing questions of our time." —Carl Benedikt Frey, Oxford Martin Citi Fellow at Oxford University and author of The Technology Trap "Provocative and concise, Monster is an important book on rescuing ourselves from technology that now feels corrosive and overwhelming." —Daniel H. Pink, author of WHEN, DRIVE, and TO SELL IS HUMAN "Clarifies a complex web of issues and provides bold steps for a healthier economy, society, and future." —Francisco D'Souza, former CEO and Vice Chairman of Cognizant "Sheds light on how we can collectively use technology for the good of all." —Soumitra Dutta, Founding Dean, SC Johnson College of Business, Cornell University "A cornucopia of pragmatic, actionable, and bold ideas." —Gary J. Beach, Publisher Emeritus, CIO magazine and author of U.S. Technology Skills Gap
Author: Tom Chivers Publisher: ISBN: 9781474608770 Category : Artificial intelligence Languages : en Pages : 0
Book Description
A deep-dive into the weird and wonderful world of Artificial Intelligence. 'The AI does not hate you, nor does it love you, but you are made of atoms which it can use for something else'. This is a book about AI and AI risk. But it's also more importantly about a community of people who are trying to think rationally about intelligence, and the places that these thoughts are taking them, and what insight they can and can't give us about the future of the human race over the next few years. It explains why these people are worried, why they might be right, and why they might be wrong. It is a book about the cutting edge of our thinking on intelligence and rationality right now by the people who stay up all night worrying about it. Along the way, we discover why we probably don't need to worry about a future AI resurrecting a perfect copy of our minds and torturing us for not inventing it sooner, but we perhaps should be concerned about paperclips destroying life as we know it; how Mickey Mouse can teach us an important lesson about how to program AI; and how a more rational approach to life could be what saves us all. --
Author: Meredith Broussard Publisher: MIT Press ISBN: 026253701X Category : Computers Languages : en Pages : 247
Book Description
A guide to understanding the inner workings and outer limits of technology and why we should never assume that computers always get it right. In Artificial Unintelligence, Meredith Broussard argues that our collective enthusiasm for applying computer technology to every aspect of life has resulted in a tremendous amount of poorly designed systems. We are so eager to do everything digitally—hiring, driving, paying bills, even choosing romantic partners—that we have stopped demanding that our technology actually work. Broussard, a software developer and journalist, reminds us that there are fundamental limits to what we can (and should) do with technology. With this book, she offers a guide to understanding the inner workings and outer limits of technology—and issues a warning that we should never assume that computers always get things right. Making a case against technochauvinism—the belief that technology is always the solution—Broussard argues that it's just not true that social problems would inevitably retreat before a digitally enabled Utopia. To prove her point, she undertakes a series of adventures in computer programming. She goes for an alarming ride in a driverless car, concluding “the cyborg future is not coming any time soon”; uses artificial intelligence to investigate why students can't pass standardized tests; deploys machine learning to predict which passengers survived the Titanic disaster; and attempts to repair the U.S. campaign finance system by building AI software. If we understand the limits of what we can do with technology, Broussard tells us, we can make better choices about what we should do with it to make the world better for everyone.
Author: Erik Brynjolfsson Publisher: W. W. Norton & Company ISBN: 0393239357 Category : Business & Economics Languages : en Pages : 320
Book Description
The big stories -- The skills of the new machines : technology races ahead -- Moore's law and the second half of the chessboard -- The digitization of just about everything -- Innovation : declining or recombining? -- Artificial and human intelligence in the second machine age -- Computing bounty -- Beyond GDP -- The spread -- The biggest winners : stars and superstars -- Implications of the bounty and the spread -- Learning to race with machines : recommendations for individuals -- Policy recommendations -- Long-term recommendations -- Technology and the future (which is very different from "technology is the future").
Author: Malcolm Frank
Author: Malcolm Frank
Author: Malcolm Frank
Author: Luke Dormehl
Author: Matt Ridley
Author: Audrey Watters
Author: Ian McEwan
Author: Paul Roehrig
Author: Tom Chivers
Author: Meredith Broussard
Author: Erik Brynjolfsson