Facebook, PayPal, Alibaba, Uber - these seemingly disparate companies have upended entire industries by harnessing a single phenomenon: the platform business model. Platform Revolution delivers the first comprehensive analysis of how platforms use technology to match producers and consumers in a multisided marketplace, unlocking hidden resources and creating new forms of value. When a company like Uber connects drivers with passengers, everybody wins - except traditional cab companies, which are scrambling to survive.

An examination of a world increasingly defined by disorder and a United States unable to shape the world in its image, from the president of the Council on Foreign Relations. Things fall apart; the center cannot hold. The rules, policies, and institutions that have guided the world since World War II have largely run their course. Respect for sovereignty alone cannot uphold order in an age defined by global challenges from terrorism and the spread of nuclear weapons to climate change and cyberspace. Meanwhile, great power rivalry is returning.

Today's "machine-learning" systems, trained by data, are so effective that we've invited them to see and hear for us - and to make decisions on our behalf. But alarm bells are ringing. Systems cull résumés until, years later, we discover that they have inherent gender biases. Algorithms decide bail and parole - and appear to assess black and white defendants differently. We can no longer assume that our mortgage application, or even our medical tests, will be seen by human eyes. And autonomous vehicles on our streets can injure or kill.

Everyone would benefit from seeing further into the future, whether buying stocks, crafting policy, launching a new product, or simply planning the week's meals. Unfortunately, people tend to be terrible forecasters. As Wharton professor Philip Tetlock showed in a landmark 2005 study, even experts' predictions are only slightly better than chance. However, an important and underreported conclusion of that study was that some experts do have real foresight.

How will artificial intelligence affect crime, war, justice, jobs, society, and our very sense of being human? The rise of AI has the potential to transform our future more than any other technology - and there's nobody better qualified or situated to explore that future than Max Tegmark, an MIT professor who's helped mainstream research on how to keep AI beneficial.

In their bestselling first book, Prediction Machines, eminent economists Ajay Agrawal, Joshua Gans, and Avi Goldfarb explained the simple yet game-changing economics of AI. Now, in Power and Prediction, they go deeper, examining the most basic unit of analysis: the decision. The authors explain that the two key decision-making ingredients are prediction and judgment, and we perform both together in our minds, often without realizing it.

The term metaverse is suddenly everywhere, from debates over Fortnite to the pages of the New York Times to the speeches of Mark Zuckerberg, who proclaimed in June 2021 that “the overarching goal” of Facebook is to “bring the metaverse to life”. But what, exactly, is the metaverse? As pioneering theorist and venture capitalist Matthew Ball explains, it is the successor to the mobile internet that has defined the last two decades.

What entrepreneur or founder doesn't aspire to build the next Amazon, Facebook, or Airbnb? Yet those who actually manage to do so are exceedingly rare. So what separates the start-ups that get disrupted and disappear from the ones who grow to become global giants? The secret is blitzscaling: a set of techniques for scaling up at a dizzying pace that blows competitors out of the water.

Many of the most dynamic public companies, from Alibaba to Facebook to Visa, and the most valuable start-ups, such as Airbnb and Uber, are matchmakers that connect one group of customers with another group of customers. Economists call matchmakers multisided platforms because they provide physical or virtual platforms for multiple groups to get together. Dating sites connect people with potential matches, for example, and ride-sharing apps do the same for drivers and riders.

The digital revolution has transformed the world of media, upending centuries-old companies and business models. Now, it is restructuring every business, every job, and every sector of society. Yet the biggest changes are still ahead. To survive, every industry and organization will have to transform itself in multiple ways. O'Reilly explores what the next economy will mean for the world and every aspect of our lives - and what we can do to shape it.

If you have a smartphone, you have AI in your pocket. AI is impossible to avoid online. And it has already changed everything from how doctors diagnose disease to how you interact with friends or read the news. But in Rule of the Robots, Martin Ford argues that the true revolution is yet to come. In this sequel to his prescient New York Times best seller Rise of the Robots, Ford presents us with a striking vision of the very near future. He argues that AI is a uniquely powerful technology that is altering every dimension of human life, often for the better.

Infinite Powers recounts how calculus tantalized and thrilled its inventors, starting with its first glimmers in ancient Greece and bringing us right up to the discovery of gravitational waves. Strogatz reveals how this form of math rose to the challenges of each age: how to determine the area of a circle with only sand and a stick; how to explain why Mars goes "backwards" sometimes; how to turn the tide in the fight against AIDS.

The guru to the gurus at last shares his knowledge with the rest of us. Nobel laureate Daniel Kahneman's seminal studies in behavioral psychology, behavioral economics, and happiness studies have influenced numerous other authors, including Steven Pinker and Malcolm Gladwell. In Thinking, Fast and Slow, Kahneman at last offers his own, first book for the general public. It is a lucid and enlightening summary of his life's work. It will change the way you think about thinking. Two systems drive the way we think and make choices, Kahneman explains....

For the last several years Adm. James Stavridis and his co-author, R. Manning Ancell, have surveyed over 200 active and retired four-star military officers about their reading habits and favorite books, asking each for a list of titles that strongly influenced their leadership skills and provided them with special insights that helped propel them to success in spite of the many demanding challenges they faced. The Leader's Bookshelf synthesizes their responses to identify the top 50 books that can help virtually anyone become a better leader.

Most startups fail. But many of those failures are preventable. The Lean Startup is a new approach being adopted across the globe, changing the way companies are built and new products are launched.

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.

What do Google, Snapchat, Tinder, Amazon, and Uber have in common, besides soaring market share? They're platforms - a new business model that has quietly become the only game in town. A platform, by definition, creates value by facilitating an exchange between two or more interdependent groups. So, rather than making things, they simply connect people. The advent of mobile computing and its ubiquitous connectivity have forever altered how we interact with each other. Yet, few people truly grasp the radical structural shifts of the last 10 years.

A trio of experts on high-tech business strategy and innovation reveal the principles that have made platform businesses the most valuable firms in the world and the first trillion-dollar companies.

Artificial intelligence is changing our world faster than we can imagine, and it will impact every area of our lives. And this is happening whether we like it or not. You might have heard that many jobs will be replaced by automation and robots, but did you also know that at the same time a huge number of new jobs will be created by AI? This book covers many fascinating and timely topics related to artificial intelligence, including: self-driving cars, robots, chatbots, and how AI will impact the job market, business processes, and entire industries, just to name a few.

In AI Superpowers, Kai-fu Lee argues powerfully that because of these unprecedented developments in AI, dramatic changes will be happening much sooner than many of us expected. Indeed, as the US-Sino AI competition begins to heat up, Lee urges the US and China to both accept and to embrace the great responsibilities that come with significant technological power.

Winning with Data explores the cultural changes big data brings to business, and shows you how to adapt your organization to leverage data to maximum effect. Authors Tomasz Tunguz and Frank Bien draw on extensive background in big data, business intelligence, and business strategy to provide a blueprint for companies looking to move head-on into the data wave. Instrumentation is discussed in detail, but the core of the change is in the culture.

Many people today are so dazzled by the long-term potential for artificial intelligence that they overlook the much clearer and more immediate potential for a new form of "collective intelligence": the intelligence of groups of people and computers working together. In Superminds, Thomas Malone explains what we need to do to take advantage of this potential. Groundbreaking and utterly fascinating, Superminds will change the way you work - both with others and with computers - for the better.

The lean entrepreneurship movement has captivated Silicon Valley and entrepreneurs across the country. It provided an agile framework to develop the right product solution for a given target market and is now used by almost every fledgling company to do just that. The next challenge is growth - to achieve the financial returns and, more importantly, the impact they dreamed of when starting off on their adventure.

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?

Many of the most dynamic public companies, from Alibaba to Facebook to Visa, and the most valuable start-ups, such as Airbnb and Uber, are matchmakers that connect one group of customers with another group of customers. Economists call matchmakers multisided platforms because they provide physical or virtual platforms for multiple groups to get together. Dating sites connect people with potential matches, for example, and ride-sharing apps do the same for drivers and riders.

The Amazon Way on IoT is for the leader who wants to understand how the Internet of things is transforming business and society. Listeners will discover business cases, key concepts, technologies and tools to help develop, explain and execute their own IoT approach through understanding Amazon's and other leading companies sophisticated IoT technologies and strategies.

How can great companies do everything right - identify real customer needs, deliver excellent innovations, beat their competitors to market - and still fail? The sad truth is that many companies fail because they focus too intensely on their own innovations, and then neglect the innovation ecosystems on which their success depends. In our increasingly interdependent world, winning requires more than just delivering on your own promises. It means ensuring that a host of partners - some visible, some hidden - deliver on their promises, too.

When scholars write the history of the world twenty years from now, what will they say was the most crucial development in the first few years of the twenty-first century? The attacks on the World Trade Center on 9/11 and the Iraq war? Or the convergence of technology and events that allowed India, China, and so many other countries to become part of the global supply chain for services and manufacturing, creating an explosion of wealth in the middle classes of the world's two biggest nations?

Coal, iron ore, and oil were the key productive assets that fueled the Industrial Revolution. Today data is the vital raw material of the information economy. The explosive abundance of this digital asset, more than doubling every two years, is creating a new world of opportunity and challenge. Data-ism is about this next phase, in which vast, Internet-scale data sets are used for discovery and prediction in virtually every field. It is a journey across this emerging world with people, illuminating narrative examples, and insights.

Today, not only is everything digital getting faster, cheaper, and smaller at an exponential rate, we also have the Internet. When these two revolutions - one in technology and the other in communications - joined, an explosive force was unleashed that changed the very nature of innovation. And with any change, we have seen many strategic blunders and extraordinary learning curves along the way.

Facebook, PayPal, Alibaba, Uber - these seemingly disparate companies have upended entire industries by harnessing a single phenomenon: the platform business model. Platform Revolution delivers the first comprehensive analysis of how platforms use technology to match producers and consumers in a multisided marketplace, unlocking hidden resources and creating new forms of value. When a company like Uber connects drivers with passengers, everybody wins - except traditional cab companies, which are scrambling to survive.

An examination of a world increasingly defined by disorder and a United States unable to shape the world in its image, from the president of the Council on Foreign Relations. Things fall apart; the center cannot hold. The rules, policies, and institutions that have guided the world since World War II have largely run their course. Respect for sovereignty alone cannot uphold order in an age defined by global challenges from terrorism and the spread of nuclear weapons to climate change and cyberspace. Meanwhile, great power rivalry is returning.

A trio of experts on high-tech business strategy and innovation reveal the principles that have made platform businesses the most valuable firms in the world and the first trillion-dollar companies.

What is “being geeky?” It’s being a perennially curious person, one who's not afraid to tackle hard problems and embrace unconventional solutions. McAfee shows how the geeks have created a new culture based around four norms: science, ownership, speed, and openness. The geek way seems odd at first. It's not deferential to experts, fond of planning and process, afraid of mistakes, or obsessed with "winning." But it explains everything from why Montessori babies turn out to be creative tinkerers to how newcomers are disrupting industry after industry (and still just getting started).

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?

Under the aegis of machine learning in our data-driven machine age, computers are programming themselves and learning about - and solving - an extraordinary range of problems, from the mundane to the most daunting. Today it is machine learning programs that enable Amazon and Netflix to predict what users will like, Apple to power Siri's ability to understand voices, and Google to pilot cars.

Many of the most dynamic public companies, from Alibaba to Facebook to Visa, and the most valuable start-ups, such as Airbnb and Uber, are matchmakers that connect one group of customers with another group of customers. Economists call matchmakers multisided platforms because they provide physical or virtual platforms for multiple groups to get together. Dating sites connect people with potential matches, for example, and ride-sharing apps do the same for drivers and riders.

World-renowned economist Klaus Schwab, founder and executive chairman of the World Economic Forum, explains that we have an opportunity to shape the fourth industrial revolution, which will fundamentally alter how we live and work.

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.

A compelling argument - masterfully researched and brilliantly articulated - that despite increasing prosperity for most of Earth’s inhabitants and an explosion of goods overall, consumption of natural resources such as metals, water, and timber has begun to decline. Best-selling author and codirector of the MIT Initiative on the Digital Economy Andrew McAfee says there’s a new reason for optimism: We’re past the point of "peak stuff" - from here on out, it'll take fewer resources to make things and fewer dollars to lead a comfortable life.