Negroponte's fans will want to get a copy of Being Digital, which is an edited version of the 18 articles he wrote for Wired about "being digital." Negroponte's text is mostly a history of media technology rather than a set of predictions for future technologies. In the beginning, he describes the evolution of CD-ROMs, multimedia, hypermedia, HDTV (high-definition television), and more. The section on interfaces is informative, offering an up-to-date history on visual interfaces, graphics, virtual reality (VR), holograms, teleconferencing hardware, the mouse and touch-sensitive interfaces, and speech recognition. In the last chapter and the epilogue, Negroponte offers visionary insight on what "being digital" means for our future. Negroponte praises computers for their educational value but recognizes certain dangers of technological advances, such as increased software and data piracy and huge shifts in our job market that will require workers to transfer their skills to the digital medium. Overall, Being Digital provides an informative history of the rise of technology and some interesting predictions for its future.

    "A balanced and novel treatment of a very important set of questions. This is a book of grand scope by an outstanding scholar."—Samuel Bowles, University of Massachusetts, Amherst "Anyone who wants to know more about the market system’s plusses and minuses, how government can help or hinder its workings, and the direction in which it is likely to move should read this clear, fair, and fascinating book."—Robert Heilbroner, professor emeritus, New School University"The Market System resplendently assesses the character, rules, advantages, and shortcomings of the central institution coordinating modern economic and social life. Lindblom marshals his incisive intellect, uncommon range, and pellucid prose to clarify, probe, and exhort. The result is an unsurpassed guide."—Ira I. Katznelson, Columbia University

    But does the much-discussed 'rise of the robots' really explain the jobs crisis that awaits us on the other side of the coronavirus? In Automation and the Future of Work, Aaron Benanav uncovers the structural economic trends that will shape our working lives far into the future. What social movements, he asks, are required to propel us into post-scarcity, if technological innovation alone can’t deliver it? In response to calls for a universal basic income that would maintain a growing army of redundant workers, he offers a counter-proposal.

    Major retailers are predicting everything from when their customers are pregnant to when they want a new pair of Chuck Taylors. It's a brave new world where seemingly meaningless data can be transformed into valuable insight to drive smart business decisions.But how does one exactly do data science? Do you have to hire one of these priests of the dark arts, the "data scientist," to extract this gold from your data? Nope.Data science is little more than using straight-forward steps to process raw data into actionable insight. And in Data Smart, author and data scientist John Foreman will show you how that's done within the familiar environment of a spreadsheet. Why a spreadsheet? It's comfortable! You get to look at the data every step of the way, building confidence as you learn the tricks of the trade. Plus, spreadsheets are a vendor-neutral place to learn data science without the hype. But don't let the Excel sheets fool you. This is a book for those serious about learning the analytic techniques, the math and the magic, behind big data.Each chapter will cover a different technique in a spreadsheet so you can follow along: - Mathematical optimization, including non-linear programming and genetic algorithms- Clustering via k-means, spherical k-means, and graph modularity- Data mining in graphs, such as outlier detection- Supervised AI through logistic regression, ensemble models, and bag-of-words models- Forecasting, seasonal adjustments, and prediction intervals through monte carlo simulation- Moving from spreadsheets into the R programming languageYou get your hands dirty as you work alongside John through each technique. But never fear, the topics are readily applicable and the author laces humor throughout. You'll even learn what a dead squirrel has to do with optimization modeling, which you no doubt are dying to know.

    Innovations rarely come from "experts." Elon Musk was not an "electric car person" before he started Tesla. When it comes to improbable innovations, which are the only innovations that really matter, a legendary tech VC told Sebastian Mallaby, the future can't be predicted, it can only be discovered, through iterative venture-backed experiments. It is the nature of the game that most of these experiments will fail, but a very few successes will succeed at such a scale that they will more than make up for everything else. That extreme ratio of success and failure is the power law that drives the VC sector, and all of Silicon Valley, and the wider tech sector shaped in its image. The implications of that power law echo around the world.In The Power Law, Sebastian Mallaby has parlayed unprecedented access to the most successful venture capitalists of all time - the key figures at Sequoia, Kleiner Perkins, Accel, Benchmark, and Andreessen Horowitz, among others--into a riveting blend of storytelling and analysis that unfurls the whole history of incubating tech companies, in the Valley and ultimately all over the world​. We learn the unvarnished truth, often for the first time, about some of the most iconic successes and infamous disasters in Valley history​, from the comedy of errors that was the birth of Apple to the avalanche of venture money that fostered hubris at WeWork and Uber. We're taken inside the different strategic models of the storied ​venture firms, their virtues and drawbacks​. We see the impact of culture, within VC​ partnerships and the companies they nurture--the importance of consciously tending it, and the disasters that ensue when power is concentrated in the wrong hands.​VCs' relentless search for power-law ​grand slams brews an obsession with the ideal of the lone entrepreneur-genius, and companies seen as potential unicorns are given intoxicating amounts of power, with sometimes disastrous ​results. On a deeper, more systemic level, the need to make outsized bets on unproven talent ​reinforces bias that ​channels money and support to, e.g., a certain kind of white guy from Stanford, with women and minorities still represented, within VCs themselves and the companies they support, at woefully low levels. This doesn't just have social justice implications: China's homegrown VC sector, having learned at the Valley's feet, is exploding, and in short order now has far more women VC heads than America has ever had. Still and all, Silicon Valley VC remains the most successful and influential incubator of business innovation in the world: it is not where ideas come from so much as where they go, to become the products and companies that create the future. Of all the people in the world gambling on the future, this group has made, not just a science of it, but many competing sciences, and The Power Law, by taking us so deeply inside their game, give us the be​nefit of thinking more keenly about our own future through their eyes.

    Their remarkable success appears to vindicate the old idea that modern society is too complex to be subjected to a plan. And yet, as Leigh Phillips and Michal Rozworski argue, much of the economy of the West is centrally planned at present. Not only is planning on vast scales possible, we already have it and it works. The real question is whether planning can be democratic. Can it be transformed to work for us?An engaging, polemical romp through economic theory, computational complexity, and the history of planning, The People’s Republic of Walmart revives the conversation about how society can extend democratic decision-making to all economic matters. With the advances in information technology in recent decades and the emergence of globe-straddling collective enterprises, democratic planning in the interest of all humanity is more important and closer to attainment than ever before.

    Just about everyone thinks they know how they got there. Just about everyone is wrong. For all that's been written about the Four over the last two decades, no one has captured their power and staggering success as insightfully as Scott Galloway.Instead of buying the myths these compa-nies broadcast, Galloway asks fundamental questions. How did the Four infiltrate our lives so completely that they're almost impossible to avoid (or boycott)? Why does the stock market forgive them for sins that would destroy other firms? And as they race to become the world's first trillion-dollar company, can anyone chal-lenge them?In the same irreverent style that has made him one of the world's most celebrated business professors, Galloway deconstructs the strategies of the Four that lurk beneath their shiny veneers. He shows how they manipulate the fundamental emotional needs that have driven us since our ancestors lived in caves, at a speed and scope others can't match. And he reveals how you can apply the lessons of their ascent to your own business or career.Whether you want to compete with them, do business with them, or simply live in the world they dominate, you need to understand the Four.

    Whether you are a student, software developer, tech entrepreneur, or researcher in computer science, this authoritative and self-contained book tells you everything you need to know about the new global money for the Internet age.How do Bitcoin and its block chain actually work? How secure are your bitcoins? How anonymous are their users? Can cryptocurrencies be regulated? These are some of the many questions this book answers. It begins by tracing the history and development of Bitcoin and cryptocurrencies, and then gives the conceptual and practical foundations you need to engineer secure software that interacts with the Bitcoin network as well as to integrate ideas from Bitcoin into your own projects. Topics include decentralization, mining, the politics of Bitcoin, altcoins and the cryptocurrency ecosystem, the future of Bitcoin, and more.An essential introduction to the new technologies of digital currencyCovers the history and mechanics of Bitcoin and the block chain, security, decentralization, anonymity, politics and regulation, altcoins, and much moreFeatures an accompanying website that includes instructional videos for each chapter, homework problems, programming assignments, and lecture slidesAlso suitable for use with the authors' Coursera online courseElectronic solutions manual (available only to professors)

    By lobbying against competition, the biggest firms drive profits higher while depressing wages and limiting opportunities for investment, innovation, and growth.Why are cell-phone plans so much more expensive in the United States than in Europe? It seems a simple question. But the search for an answer took Thomas Philippon on an unexpected journey through some of the most complex and hotly debated issues in modern economics. Ultimately he reached his surprising conclusion: American markets, once a model for the world, are giving up on healthy competition. Sector after economic sector is more concentrated than it was twenty years ago, dominated by fewer and bigger players who lobby politicians aggressively to protect and expand their profit margins. Across the country, this drives up prices while driving down investment, productivity, growth, and wages, resulting in more inequality. Meanwhile, Europe--long dismissed for competitive sclerosis and weak antitrust--is beating America at its own game.Philippon, one of the world's leading economists, did not expect these conclusions in the age of Silicon Valley start-ups and millennial millionaires. But the data from his cutting-edge research proved undeniable. In this compelling tale of economic detective work, we follow him as he works out the basic facts and consequences of industry concentration in the U.S. and Europe, shows how lobbying and campaign contributions have defanged antitrust regulators, and considers what all this means for free trade, technology, and innovation. For the sake of ordinary Americans, he concludes, government needs to return to what it once did best: keeping the playing field level for competition. It's time to make American markets great--and free--again.

    Scaling Up: How a Few Companies Make It...and Why the Rest Don't is the first major revision of this business classic. In Scaling Up, Harnish and his team share practical tools and techniques for building an industry-dominating business. These approaches have been honed from over three decades of advising tens of thousands of CEOs and executives and helping them navigate the increasing complexities (and weight) that come with scaling up a venture. This book is written so everyone -- from frontline employees to senior executives -- can get aligned in contributing to the growth of a firm. There's no reason to do it alone, yet many top leaders feel like they are the ones dragging the rest of the organization up the S-curve of growth. The goal of this book is to help you turn what feels like an anchor into wind at your back -- creating a company where the team is engaged; the customers are doing your marketing; and everyone is making money. To accomplish this, Scaling Up focuses on the four major decision areas every company must get right: People, Strategy, Execution, and Cash. The book includes a series of new one-page tools including the updated One-Page Strategic Plan and the Rockefeller Habits ChecklistTM, which more than 40,000 firms around the globe have used to scale their companies successfully -- many to $1 billion and beyond. Running a business is ultimately about freedom. Scaling Up shows business leaders how to get their organizations moving in sync to create something significant and enjoy the ride.

    Today, the utopia they sought to create is looking more dystopian than ever: from digital surveillance and the loss of privacy to the spreading of misinformation and hate speech to predatory algorithms targeting the weak and vulnerable to products that have been engineered to manipulate our desires. How did we get here? How did these once-scrappy and idealistic enterprises become rapacious monopolies with the power to corrupt our elections, co-opt all our data, and control the largest single chunk of corporate wealth—while evading all semblance of regulation and taxes?  In Don’t Be Evil, Financial Times global business columnist Rana Foroohar tells the story of how Big Tech lost its soul—and ate our lunch. Through her skilled reporting and unparalleled access—won through nearly thirty years covering business and technology—she shows the true extent to which behemoths like Google, Facebook, Apple, and Amazon are monetizing both our data and our attention, without us seeing a penny of those exorbitant profits. Finally, Foroohar lays out a plan for how we can resist, by creating a framework that fosters innovation while also protecting us from the dark side of digital technology.Praise for Don’t Be Evil “At first sight, Don’t Be Evil looks like it’s doing for Google what muckraking journalist Ida Tarbell did for Standard Oil over a century ago. But this whip-smart, highly readable book’s scope turns out to be much broader. Worried about the monopolistic tendencies of big tech? The addictive apps on your iPhone? The role Facebook played in Donald Trump’s election? Foroohar will leave you even more worried, but a lot better informed.”—Niall Ferguson, Milbank Family Senior Fellow at the Hoover Institution, Stanford, and author of The Square and the Tower

    Another AI discovered a new antibiotic by analyzing molecular properties human scientists did not understand. Now, AI-powered jets are defeating experienced human pilots in simulated dogfights. AI is coming online in searching, streaming, medicine, education, and many other fields and, in so doing, transforming how humans are experiencing reality.In The Age of AI, three leading thinkers have come together to consider how AI will change our relationships with knowledge, politics, and the societies in which we live. The Age of AI is an essential roadmap to our present and our future, an era unlike any that has come before.

    With it has come vast amounts of data in a variety of fields such as medicine, biology, finance, and marketing. The challenge of understanding these data has led to the development of new tools in the field of statistics, and spawned new areas such as data mining, machine learning, and bioinformatics. Many of these tools have common underpinnings but are often expressed with different terminology. This book describes the important ideas in these areas in a common conceptual framework. While the approach is statistical, the emphasis is on concepts rather than mathematics. Many examples are given, with a liberal use of color graphics. It should be a valuable resource for statisticians and anyone interested in data mining in science or industry. The book's coverage is broad, from supervised learning (prediction) to unsupervised learning. The many topics include neural networks, support vector machines, classification trees and boosting—the first comprehensive treatment of this topic in any book. Trevor Hastie, Robert Tibshirani, and Jerome Friedman are professors of statistics at Stanford University. They are prominent researchers in this area: Hastie and Tibshirani developed generalized additive models and wrote a popular book of that title. Hastie wrote much of the statistical modeling software in S-PLUS and invented principal curves and surfaces. Tibshirani proposed the Lasso and is co-author of the very successful An Introduction to the Bootstrap. Friedman is the co-inventor of many data-mining tools including CART, MARS, and projection pursuit.

    To the extent possible, he has made a science of understanding how the US economy works almost as a living organism--how it grows and changes, surges and stalls. He has made a particular study of the question of productivity growth, at the heart of which is the riddle of innovation. Where does innovation come from, and how does it spread through a society? And why do some eras see the fruits of innovation spread more democratically, and others, including our own, see the opposite?In Capitalism in America, Greenspan distills a lifetime of grappling with these questions into a thrilling and profound master reckoning with the decisive drivers of the US economy over the course of its history. In partnership with the celebrated Economist journalist and historian Adrian Wooldridge, he unfolds a tale involving vast landscapes, titanic figures, triumphant breakthroughs, enlightenment ideals as well as terrible moral failings. Every crucial debate is here--from the role of slavery in the antebellum Southern economy to the real impact of FDR's New Deal to America's violent mood swings in its openness to global trade and its impact. But to read Capitalism in America is above all to be stirred deeply by the extraordinary productive energies unleashed by millions of ordinary Americans that have driven this country to unprecedented heights of power and prosperity. At heart, the authors argue, America's genius has been its unique tolerance for the effects of creative destruction, the ceaseless churn of the old giving way to the new, driven by new people and new ideas. Often messy and painful, creative destruction has also lifted almost all Americans to standards of living unimaginable to even the wealthiest citizens of the world a few generations past. A sense of justice and human decency demands that those who bear the brunt of the pain of change be protected, but America has always accepted more pain for more gain, and its vaunted rise cannot otherwise be understood, or its challenges faced, without recognizing this legacy. For now, in our time, productivity growth has stalled again, stirring up the populist furies. There's no better moment to apply the lessons of history to the most pressing question we face, that of whether the United States will preserve its preeminence, or see its leadership pass to other, inevitably less democratic powers.

    This guide also helps you understand the many data-mining techniques in use today.Based on an MBA course Provost has taught at New York University over the past ten years, Data Science for Business provides examples of real-world business problems to illustrate these principles. You’ll not only learn how to improve communication between business stakeholders and data scientists, but also how participate intelligently in your company’s data science projects. You’ll also discover how to think data-analytically, and fully appreciate how data science methods can support business decision-making.Understand how data science fits in your organization—and how you can use it for competitive advantageTreat data as a business asset that requires careful investment if you’re to gain real valueApproach business problems data-analytically, using the data-mining process to gather good data in the most appropriate wayLearn general concepts for actually extracting knowledge from dataApply data science principles when interviewing data science job candidates