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").

This book examines the current state of the technologically-caused unemployed, and attempts to answer the question of how to proceed into an era beyond technological unemployment. Beginning with an overview of the most salient issues, the experts collected in this work present their own novel visions of the future and offer suggestions for adapting to a more symbiotic economic relationship with AI. These suggestions include different modes of dealing with education, aging workers, government policies, and the machines themselves. Ultimately, they lay out a whole new approach to economics, one in which we learn to merge with and adapt to our increasingly intelligent creations.

A New York Times bestselling author and tech columnist's counter-intuitive guide to staying relevant - and employable - in the machine age by becoming irreplaceably human. It's not a future scenario any more. We've been taught that to compete with automation and AI, we'll have to become more like the machines themselves, building up technical skills like coding. But, there's simply no way to keep up. What if all the advice is wrong? And what do we need to do instead to become futureproof? We tend to think of automation as a blue-collar phenomenon that will affect truck drivers, factory workers, and other people with repetitive manual jobs. But it's much, much broader than that. Lawyers are being automated out of existence. Last year, JPMorgan Chase built a piece of software called COIN, which uses machine learning to review complicated contracts and documents. It used to take the firm's lawyers more than 300,000 hours every year to review all of those documents. Now, it takes a few seconds, and requires just one human to run the program. Doctors are being automated out of existence, too. Last summer, a Chinese tech company built a deep learning algorithm that diagnosed brain cancer and other diseases faster and more accurately than a team of 15 top Chinese doctors. Kevin Roose has spent the past few years studying the question of how people, communities, and organisations adapt to periods of change, from the Industrial Revolution to the present. And the insight that is sweeping through Silicon Valley as we speak -- that in an age dominated by machines, it's human skills that really matter - is one of the more profound and counter-intuitive ideas he's discovered. It's the antidote to the doom-and-gloom worries many people feel when they think about AI and automation. And it's something everyone needs to hear. In nine accessible, prescriptive chapters, Roose distills what he has learned about how we will survive the future, that the way to become futureproof is to become incredibly, irreplaceably human.

In this interdisciplinary work, John Jordan traces the significant influence on American politics of a most unlikely hero: the professional engineer. Jordan shows how technical triumphs--bridges, radio broadcasting, airplanes, automobiles, skyscrapers, and electrical power--inspired social and political reformers to borrow the language and logic of engineering in the early twentieth century, bringing terms like efficiency, technocracy, and social engineering into the political lexicon. Demonstrating that the cultural impact of technology spread far beyond the factory and laboratory, Jordan shows how a panoply of reformers embraced the language of machinery and engineering as metaphors for modern statecraft and social progress. President Herbert Hoover, himself an engineer, became the most powerful of the technocratic progressives. Elsewhere, this vision of social engineering was debated by academics, philanthropists, and commentators of the day--including John Dewey, Thorstein Veblen, Lewis Mumford, Walter Lippmann, and Charles Beard. The result, Jordan argues, was a new way of talking about the state. Originally published in 1994. A UNC Press Enduring Edition -- UNC Press Enduring Editions use the latest in digital technology to make available again books from our distinguished backlist that were previously out of print. These editions are published unaltered from the original, and are presented in affordable paperback formats, bringing readers both historical and cultural value.

The Machine Age of Customer Insight demonstrates the impact of machine learning and data analytics, combining an academic state-of-the-art overview of machine learning with cases from well-known companies. These cases show the opportunities and challenges of the transformation process for business and for customer insights more specifically.

Introduction: Henry Ford, centralization, and decentralization -- Henry Ford's village industries: origins, contexts, rationales -- Decentralized technology in the village industries: scale, scope, system, vision -- Farm and factory united -- Buildings and workforce -- Administration and relationship to local communities -- Workers' experiences -- Unionization -- The decentralists and other visionaries -- American industry also preaches decentralization -- Decline of the village industries during World War II and after -- Contemporary renewal of the village industries in high-tech America -- Conclusion: Henry Ford evolves from mechanical to social engineer -- Appendix: basic facts about and present status of the nineteen village industries.

Throughout Disney's phenomenally successful run in the entertainment industry, the company has negotiated the use of cutting-edge film and media technologies that, J. P. Telotte argues, have proven fundamental to the company's identity. Disney's technological developments include the use of stereophonic surround sound for Fantasia, experimentation with wide-screen technology, inaugural adoption of three-strip Technicolor film, and early efforts at fostering depth in the animated image. Telotte also chronicles Disney's partnership with television, development of the theme park, and depiction of technology in science-fiction narratives. An in-depth discussion of Disney's shift into digital filmmaking with its Pixar partnership and an emphasis on digital special effects in live-action films, such as the Pirates of the Caribbean series, also highlight the studio's historical investment in technology. By exploring the technological context for Disney creations throughout its history, The Mouse Machine illuminates Disney's extraordinary growth into one of the largest and most influential media and entertainment companies in the world. Hardbook is unjacketed.