Author: Nick Polson, James Scott
Publisher: Random House
Two leading data scientists offer an up-close and user-friendly look at artificial intelligence: what it is, how it works, where it came from and how to harness its power for a better world. 'There comes a time in the life of a subject when someone steps up and writes the book about it. AIQ explores the fascinating history of the ideas that drive this technology of the future and demystifies the core concepts behind it; the result is a positive and entertaining look at the great potential unlocked by marrying human creativity with powerful machines.' Steven D. Levitt, co-author of Freakonomics Dozens of times per day, we all interact with intelligent machines that are constantly learning from the wealth of data now available to them. These machines, from smart phones to talking robots to self-driving cars, are remaking the world in the twenty first century in the same way that the Industrial Revolution remade the world in the nineteenth. AIQ is based on a simple premise: if you want to understand the modern world, then you have to know a little bit of the mathematical language spoken by intelligent machines. AIQ will teach you that language but in an unconventional way, anchored in stories rather than equations. You will meet a fascinating cast of historical characters who have a lot to teach you about data, probability and better thinking. Along the way, you'll see how these same ideas are playing out in the modern age of big data and intelligent machines, and how these technologies will soon help you to overcome some of your built-in cognitive weaknesses, giving you a chance to lead a happier, healthier, more fulfilled life.
Author: Ajay Agrawal, Joshua Gans, Avi Goldfarb
Publisher: Harvard Business Press
"What does AI mean for your business? Read this book to find out." -- Hal Varian, Chief Economist, Google Artificial intelligence does the seemingly impossible, magically bringing machines to life--driving cars, trading stocks, and teaching children. But facing the sea change that AI will bring can be paralyzing. How should companies set strategies, governments design policies, and people plan their lives for a world so different from what we know? In the face of such uncertainty, many analysts either cower in fear or predict an impossibly sunny future. But in Prediction Machines, three eminent economists recast the rise of AI as a drop in the cost of prediction. With this single, masterful stroke, they lift the curtain on the AI-is-magic hype and show how basic tools from economics provide clarity about the AI revolution and a basis for action by CEOs, managers, policy makers, investors, and entrepreneurs. When AI is framed as cheap prediction, its extraordinary potential becomes clear: Prediction is at the heart of making decisions under uncertainty. Our businesses and personal lives are riddled with such decisions. Prediction tools increase productivity--operating machines, handling documents, communicating with customers. Uncertainty constrains strategy. Better prediction creates opportunities for new business structures and strategies to compete. Penetrating, fun, and always insightful and practical, Prediction Machines follows its inescapable logic to explain how to navigate the changes on the horizon. The impact of AI will be profound, but the economic framework for understanding it is surprisingly simple.
Author: Tim O'Reilly
WTF? can be an expression of amazement or an expression of dismay. In today’s economy, we have far too much dismay along with our amazement, and technology bears some of the blame. In this combination of memoir, business strategy guide, and call to action, Tim O'Reilly, Silicon Valley’s leading intellectual and the founder of O’Reilly Media, explores the upside and the potential downsides of today's WTF? technologies. What is the future when an increasing number of jobs can be performed by intelligent machines instead of people, or done only by people in partnership with those machines? What happens to our consumer based societies—to workers and to the companies that depend on their purchasing power? Is income inequality and unemployment an inevitable consequence of technological advancement, or are there paths to a better future? What will happen to business when technology-enabled networks and marketplaces are better at deploying talent than traditional companies? How should companies organize themselves to take advantage of these new tools? What’s the future of education when on-demand learning outperforms traditional institutions? How can individuals continue to adapt and retrain? Will the fundamental social safety nets of the developed world survive the transition, and if not, what will replace them? O'Reilly is "the man who can really can make a whole industry happen," according to Eric Schmidt, Executive Chairman of Alphabet (Google.) His genius over the past four decades has been to identify and to help shape our response to emerging technologies with world shaking potential—the World Wide Web, Open Source Software, Web 2.0, Open Government data, the Maker Movement, Big Data, and now AI. O’Reilly shares the techniques he's used at O’Reilly Media to make sense of and predict past innovation waves and applies those same techniques to provide a framework for thinking about how today’s world-spanning platforms and networks, on-demand services, and artificial intelligence are changing the nature of business, education, government, financial markets, and the economy as a whole. He provides tools for understanding how all the parts of modern digital businesses work together to create marketplace advantage and customer value, and why ultimately, they cannot succeed unless their ecosystem succeeds along with them. The core of the book's call to action is an exhortation to businesses to DO MORE with technology rather than just using it to cut costs and enrich their shareholders. Robots are going to take our jobs, they say. O'Reilly replies, “Only if that’s what we ask them to do! Technology is the solution to human problems, and we won’t run out of work till we run out of problems." Entrepreneurs need to set their sights on how they can use big data, sensors, and AI to create amazing human experiences and the economy of the future, making us all richer in the same way the tools of the first industrial revolution did. Yes, technology can eliminate labor and make things cheaper, but at its best, we use it to do things that were previously unimaginable! What is our poverty of imagination? What are the entrepreneurial leaps that will allow us to use the technology of today to build a better future, not just a more efficient one? Whether technology brings the WTF? of wonder or the WTF? of dismay isn't inevitable. It's up to us!
The Future of War
Author: Lawrence Freedman
Questions about the future of war are a regular feature of political debate, strategic analysis, and popular fiction. Where should we look for new dangers? What cunning plans might an aggressor have in mind? What are the best forms of defense? How might peace be preserved or conflict resolved? From the French rout at Sedan in 1870 to the relentless contemporary insurgencies in Iraq and Afghanistan, Lawrence Freedman, a world-renowned military thinker, reveals how most claims from the military futurists are wrong. But they remain influential nonetheless. Freedman shows how those who have imagined future war have often had an idealized notion of it as confined, brief, and decisive, and have regularly taken insufficient account of the possibility of long wars-hence the stubborn persistence of the idea of a knockout blow, whether through a dashing land offensive, nuclear first strike, or cyberattack. He also notes the lack of attention paid to civil wars until the West began to intervene in them during the 1990s, and how the boundaries between peace and war, between the military, the civilian, and the criminal are becoming increasingly blurred. Freedman's account of a century and a half of warfare and the (often misconceived) thinking that precedes war is a challenge to hawks and doves alike, and puts current strategic thinking into a bracing historical perspective.
Author: Thomas W. Malone
Publisher: Little, Brown
From the founding director of the MIT Center for Collective Intelligence comes a fascinating look at the remarkable capacity for intelligence exhibited by groups of people and computers working together. If you're like most people, you probably believe that humans are the most intelligent animals on our planet. But there's another kind of entity that can be far smarter: groups of people. In this groundbreaking book, Thomas Malone, the founding director of the MIT Center for Collective Intelligence, shows how groups of people working together in superminds -- like hierarchies, markets, democracies, and communities -- have been responsible for almost all human achievements in business, government, science, and beyond. And these collectively intelligent human groups are about to get much smarter. Using dozens of striking examples and case studies, Malone shows how computers can help create more intelligent superminds simply by connecting humans to one another in a variety of rich, new ways. And although it will probably happen more gradually than many people expect, artificially intelligent computers will amplify the power of these superminds by doing increasingly complex kinds of thinking. Together, these changes will have far-reaching implications for everything from the way we buy groceries and plan business strategies to how we respond to climate change, and even for democracy itself. By understanding how these collectively intelligent groups work, we can learn how to harness their genius to achieve our human goals. Drawing on cutting-edge science and insights from a remarkable range of disciplines, Superminds articulates a bold -- and utterly fascinating -- picture of the future that will change the ways you work and live, both with other people and with computers.
Human + Machine
Author: Paul R. Daugherty, H. James Wilson
Publisher: Harvard Business Press
AI is radically transforming business. Are you ready? Look around you. Artificial intelligence is no longer just a futuristic notion. It's here right now--in software that senses what we need, supply chains that "think" in real time, and robots that respond to changes in their environment. Twenty-first-century pioneer companies are already using AI to innovate and grow fast. The bottom line is this: Businesses that understand how to harness AI can surge ahead. Those that neglect it will fall behind. Which side are you on? In Human + Machine, Accenture leaders Paul R. Daugherty and H. James (Jim) Wilson show that the essence of the AI paradigm shift is the transformation of all business processes within an organization--whether related to breakthrough innovation, everyday customer service, or personal productivity habits. As humans and smart machines collaborate ever more closely, work processes become more fluid and adaptive, enabling companies to change them on the fly--or to completely reimagine them. AI is changing all the rules of how companies operate. Based on the authors' experience and research with 1,500 organizations, the book reveals how companies are using the new rules of AI to leap ahead on innovation and profitability, as well as what you can do to achieve similar results. It describes six entirely new types of hybrid human + machine roles that every company must develop, and it includes a "leader’s guide" with the five crucial principles required to become an AI-fueled business. Human + Machine provides the missing and much-needed management playbook for success in our new age of AI.
China's Great Wall of Debt
Author: Dinny McMahon
Publisher: Houghton Mifflin Harcourt
A stunning inside look at how and why the foundations upon which China has built the world’s second largest economy, have started to crumble. Over the course of a decade spent reporting on the ground in China as a financial journalist, Dinny McMahon gradually came to the conclusion that the widely held belief in China’s inevitable economic ascent is dangerously wrong. In this unprecedented deep dive, McMahon shows how, lurking behind the illusion of prosperity, China’s economic growth has been built on a staggering mountain of debt. While stories of newly built but empty cities, white elephant state projects, and a byzantine shadow banking system, have all become a regular fixture in the press in recent years, McMahon goes beyond the headlines to explain how such waste has been allowed to flourish, and why one of the most powerful governments in the world has been at a loss to stop it. Through the stories of ordinary Chinese citizens, McMahon tries to make sense of the unique—and often bizarre—mechanics of the Chinese economy, whether it be the state’s addiction to appropriating land from poor farmers; or why a Chinese entrepreneur decided it was cheaper to move his yarn factory to South Carolina; or why ambitious Chinese mayors build ghost cities; or why the Chinese bureaucracy was able to stare down Beijing’s attempts to break up the state’s pointless monopoly over the distribution of table salt. Debt, entrenched vested interests, a frenzy of speculation, and an aging population are all pushing China toward an economic reckoning. China’s Great Wall of Debt unravels an incredibly complex and opaque economy, one whose fortunes—for better or worse—will shape the globe like never before.
The Spinning Magnet
Author: Alanna Mitchell
An engrossing history of the science of one of the four fundamental physical forces in the universe, electromagnetism, right up to the latest indications that the poles are soon to reverse and destroy the world's power grids and electronic communications A cataclysmic planetary phenomenon is gathering force deep within the Earth. The magnetic North Pole will eventually trade places with the South Pole. Satellite evidence suggests to some scientists that the move has already begun, but most still think it won't happen for many decades. All agree that it has happened many times before and will happen again. But this time it will be different. It will be a very bad day for modern civilization. Award-winning science journalist Alanna Mitchell's delightful storytelling introduces enchanting characters from investigations into magnetism in thirteenth-century France to the discovery in the Victorian era that electricity and magnetism emerge from the same force. No one has ever told so eloquently how the Earth itself came to be seen as a magnet, spinning in space with two poles, and that those poles dramatically, catastrophically reverse now and then... The recent finding that Earth's magnetic force field is decaying faster than previously thought, raising fears of an imminent pole reversal, ultimately gives The Spinning Magnet a spine-tingling urgency. When the poles switch, a process that takes many years, Earth is unprotected from solar radiation storms that would, among other things, wipe out all electromagnetic technology. No satellites, no Internet, no smartphones--maybe no power grid at all. Alanna Mitchell offers a beautifully crafted narrative history of ideas and science that readers of Stephen Greenblatt and Sam Kean will love.
This book takes a pragmatic and hype–free approach to explaining artificial intelligence and how it can be utilised by businesses today. At the core of the book is a framework, developed by the author, which describes in non–technical language the eight core capabilities of Artificial Intelligence (AI). Each of these capabilities, ranging from image recognition, through natural language processing, to prediction, is explained using real–life examples and how they can be applied in a business environment. It will include interviews with executives who have successfully implemented AI as well as CEOs from AI vendors and consultancies. AI is one of the most talked about technologies in business today. It has the ability to deliver step–change benefits to organisations and enables forward–thinking CEOs to rethink their business models or create completely new businesses. But most of the real value of AI is hidden behind marketing hyperbole, confusing terminology, inflated expectations and dire warnings of ‘robot overlords’. Any business executive that wants to know how to exploit AI in their business today is left confused and frustrated. As an advisor in Artificial Intelligence, Andrew Burgess regularly comes face–to–face with business executives who are struggling to cut through the hype that surrounds AI. The knowledge and experience he has gained in advising them, as well as working as a strategic advisor to AI vendors and consultancies, has provided him with the skills to help business executives understand what AI is and how they can exploit its many benefits. Through the distilled knowledge included in this book business leaders will be able to take full advantage of this most disruptive of technologies and create substantial competitive advantage for their companies.
Author: Chris Clearfield, András Tilcsik
A groundbreaking take on how complexity causes failure in all kinds of modern systems--from social media to air travel--this practical and entertaining book reveals how we can prevent meltdowns in business and life "Endlessly fascinating, brimming with insight, and more fun than a book about failure has any right to be, Meltdown will transform how you think about the systems that govern our lives. This is a wonderful book."--Charles Duhigg, author of The Power of Habit and Smarter Faster Better A crash on the Washington, D.C. metro system. An accidental overdose in a state-of-the-art hospital. An overcooked holiday meal. At first glance, these disasters seem to have little in common. But surprising new research shows that all these events--and the myriad failures that dominate headlines every day--share similar causes. By understanding what lies behind these failures, we can design better systems, make our teams more productive, and transform how we make decisions at work and at home. Weaving together cutting-edge social science with riveting stories that take us from the frontlines of the Volkswagen scandal to backstage at the Oscars, and from deep beneath the Gulf of Mexico to the top of Mount Everest, Chris Clearfield and András Tilcsik explain how the increasing complexity of our systems creates conditions ripe for failure and why our brains and teams can't keep up. They highlight the paradox of progress: Though modern systems have given us new capabilities, they've become vulnerable to surprising meltdowns--and even to corruption and misconduct. But Meltdown isn't just about failure; it's about solutions--whether you're managing a team or the chaos of your family's morning routine. It reveals why ugly designs make us safer, how a five-minute exercise can prevent billion-dollar catastrophes, why teams with fewer experts are better at managing risk, and why diversity is one of our best safeguards against failure. The result is an eye-opening, empowering, and entirely original book--one that will change the way you see our complex world and your own place in it.
Author: David Sumpter
Publisher: Bloomsbury Publishing
Algorithms are running our society, and as the Cambridge Analytica story has revealed, we don't really know what they are up to. Our increasing reliance on technology and the internet has opened a window for mathematicians and data researchers to gaze through into our lives. Using the data they are constantly collecting about where we travel, where we shop, what we buy and what interests us, they can begin to predict our daily habits. But how reliable is this data? Without understanding what mathematics can and can't do, it is impossible to get a handle on how it is changing our lives. In this book, David Sumpter takes an algorithm-strewn journey to the dark side of mathematics. He investigates the equations that analyse us, influence us and will (maybe) become like us, answering questions such as: Who are Cambridge Analytica? And what are they doing with our data? How does Facebook build a 100-dimensional picture of your personality? Are Google algorithms racist and sexist? Why do election predictions fail so drastically? Are algorithms that are designed to find criminals making terrible mistakes? What does the future hold as we relinquish our decision-making to machines? Featuring interviews with those working at the cutting edge of algorithm research, including Alex Kogan from the Cambridge Analytica story, along with a healthy dose of mathematical self-experiment, Outnumbered will explain how mathematics and statistics work in the real world, and what we should and shouldn't worry about. A lot of people feel outnumbered by algorithms – don't be one of them.
Author: Julia Shaw
What is it about evil that we find so compelling? From our obsession with serial killers to violence in pop culture, we seem inescapably drawn to the stories of monstrous acts and the aberrant people who commit them. But evil, Dr. Julia Shaw argues, is all relative, rooted in our unique cultures. What one may consider normal, like sex before marriage, eating meat, or being a banker, others find abhorrent. And if evil is only in the eye of the beholder, can it be said to exist at all? In Evil, Shaw uses case studies from academia, examples from and popular culture, and anecdotes from everyday life to break down complex information and concepts like the neuroscience of evil, the psychology of bloodlust, and workplace misbehavior. This is a wide-ranging exploration into a fascinating, darkly compelling subject.
"Read The Economic Singularity if you want to think intelligently about the future." Aubrey de Grey Artificial intelligence (AI) is overtaking our human ability to absorb and process information. Robots are becoming increasingly dextrous, flexible, and safe to be around (except the military ones). It is our most powerful technology, and you need to understand it. This new book from best-selling AI writer Calum Chace argues that within a few decades, most humans will not be able to work for money. Self-driving cars will probably be the canary in the coal mine, providing a wake-up call for everyone who isn't yet paying attention. All jobs will be affected, from fast food McJobs to lawyers and journalists. This is the single most important development facing humanity in the first half of the 21st century. The fashionable belief that Universal Basic Income is the solution is only partly correct. We are probably going to need an entirely new economic system, and we better start planning soon - for the Economic Singularity! The outcome can be very good - a world in which machines do all the boring jobs and humans do pretty much what they please. But there are major risks, which we can only avoid by being alert to the possible futures and planning how to avoid the negative ones."
The AI Advantage
Author: Thomas H. Davenport, Paul Michelman
Publisher: Management on the Cutting Edge
Cutting through the hype, a practical guide to using artificial intelligence for business benefits and competitive advantage.
This book brings a high level of fluidity to analytics and addresses recent trends, innovative ideas, challenges and cognitive computing solutions in big data and the Internet of Things (IoT). It explores domain knowledge, data science reasoning and cognitive methods in the context of the IoT, extending current data science approaches by incorporating insights from experts as well as a notion of artificial intelligence, and performing inferences on the knowledge The book provides a comprehensive overview of the constituent paradigms underlying cognitive computing methods, which illustrate the increased focus on big data in IoT problems as they evolve. It includes novel, in-depth fundamental research contributions from a methodological/application in data science accomplishing sustainable solution for the future perspective. Mainly focusing on the design of the best cognitive embedded data science technologies to process and analyze the large amount of data collected through the IoT, and aid better decision making, the book discusses adapting decision-making approaches under cognitive computing paradigms to demonstrate how the proposed procedures as well as big data and IoT problems can be handled in practice. This book is a valuable resource for scientists, professionals, researchers, and academicians dealing with the new challenges and advances in the specific areas of cognitive computing and data science approaches.