Artificial intelligence does the seemingly impossible - 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 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.

In industry after industry, data, analytics, and AI-driven processes are transforming the nature of work. While we often still treat AI as the domain of a specific skill, business function, or sector, we have entered a new era in which AI is challenging the very concept of the firm. AI-centric organizations exhibit a new operating architecture, redefining how they create, capture, share, and deliver value.

We are approaching a critical threshold in the history of our species. Everything is about to change. Soon you will live surrounded by AIs. They will organize your life, operate your business, and run core government services. You will live in a world of DNA printers and quantum computers, engineered pathogens and autonomous weapons, robot assistants and abundant energy.

Futurists insist that AI will soon eclipse the capacities of the most gifted human mind. What hope do we have against superintelligent machines? But we aren't really on the path to developing intelligent machines. In fact, we don't even know where that path might be. Erik Larson takes us on a tour of the landscape of AI to show how far we are from superintelligence and what it would take to get there.

For all of neuroscience's advances, we've made little progress on its biggest question: How do simple cells in the brain create intelligence? Jeff Hawkins and his team discovered that the brain uses map-like structures to build a model of the world - not just one model, but hundreds of thousands of models of everything we know. This discovery allows Hawkins to answer important questions about how we perceive the world, why we have a sense of self, and the origin of high-level thought.

AI will be the defining development of the 21st century. Within two decades, aspects of daily human life will be unrecognizable. AI will generate unprecedented wealth, revolutionize medicine and education through human-machine symbiosis, and create brand-new forms of communication and entertainment. In liberating us from routine work, however, AI will also challenge the organizing principles of our economic and social order.

In Artificial Intelligence, Mitchell turns to the most urgent questions concerning AI today: How intelligent - really - are the best AI programs? How do they work? What can they actually do, and when do they fail? How humanlike do we expect them to become, and how soon do we need to worry about them surpassing us? Along the way, she introduces the dominant methods of modern AI and machine learning, describing cutting-edge AI programs, their human inventors, and the historical lines of thought that led to recent achievements.

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.

In the popular imagination, superhuman artificial intelligence is an approaching tidal wave that threatens not just jobs and human relationships, but civilization itself. Conflict between humans and machines is seen as inevitable and its outcome all too predictable. In this groundbreaking audiobook, distinguished AI researcher Stuart Russell argues that this scenario can be avoided, but only if we rethink AI from the ground up. Russell begins by exploring the idea of intelligence in humans and in machines.

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.

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.

From the best-selling author of Thinking, Fast and Slow, the co-author of Nudge, and the author of You Are About to Make a Terrible Mistake! comes Noise, a revolutionary exploration of why people make bad judgments, and how to control both noise and cognitive bias.

From Oxford's leading AI researcher comes a fun and accessible tour through the history and future of one of the most cutting edge and misunderstood field in science: artificial intelligence.

What happens when artificial intelligence saturates political life and depletes the planet? How is AI shaping our understanding of ourselves and our societies? Drawing on more than a decade of research, award-winning scholar Kate Crawford reveals how AI is a technology of extraction: from the minerals drawn from the earth, to the labor pulled from low-wage information workers, to the data taken from every action and expression. This book reveals how this planetary network is fueling a shift toward undemocratic governance and increased inequity.

By the man who helped invent the red-hot management process known as "Scrum", Scrum unveils what is wrong with the way we currently do work, and how a simple set of principles, applied in exactly the right sequence, can accelerate productivity and quality as much as 1,200 percent.

Artificial intelligence does the seemingly impossible - 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 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.

In industry after industry, data, analytics, and AI-driven processes are transforming the nature of work. While we often still treat AI as the domain of a specific skill, business function, or sector, we have entered a new era in which AI is challenging the very concept of the firm. AI-centric organizations exhibit a new operating architecture, redefining how they create, capture, share, and deliver value.

It's no secret that we're pushed to the limit. Today's professionals feel rushed, overwhelmed, and perennially behind. How can we break out of the cycle and create the kind of interesting, meaningful lives that we all seek? Just as CEOs who optimize for quarterly profits often fail to make the strategic investments necessary for long-term growth, the same is true in our own personal and professional lives.

The deep-learning revolution has brought us driverless cars, the greatly improved Google Translate, fluent conversations with Siri and Alexa, and enormous profits from automated trading on the New York Stock Exchange. Deep-learning networks can play poker better than professional poker players and defeat a world champion at Go. In this book, Terry Sejnowski explains how deep learning went from being an arcane academic field to a disruptive technology in the information economy.

Smart people are not only just as prone to making mistakes as everyone else - they may be even more susceptible to them. This is the "intelligence trap", the subject of David Robson's fascinating and provocative book. The Intelligence Trap explores cutting-edge ideas in our understanding of intelligence and expertise, including "strategic ignorance", "meta-forgetfulness", and "functional stupidity."

In this collection of Jeff Bezos' writings - his unique and strikingly original annual shareholder letters, plus numerous speeches and interviews that provide insight into his background, his work, and the evolution of his ideas - you'll gain an insider's view of the why and how of his success. Spanning a range of topics across business and public policy, from innovation and customer obsession to climate change and outer space, this book provides a rare glimpse into how Bezos thinks about the world and where the future might take us.

Over a stellar career, Roger Martin has advised the CEOs of some of the world's most successful companies. From the beginning, he noted that almost every executive he talked to had a "model"—a framework or way of thinking that guided their strategy and activities. But these models tended to become automatic, so much so that when one didn't work, the typical response was just to apply it again—with greater enthusiasm.

What happens when artificial intelligence saturates political life and depletes the planet? How is AI shaping our understanding of ourselves and our societies? Drawing on more than a decade of research, award-winning scholar Kate Crawford reveals how AI is a technology of extraction: from the minerals drawn from the earth, to the labor pulled from low-wage information workers, to the data taken from every action and expression. This book reveals how this planetary network is fueling a shift toward undemocratic governance and increased inequity.

Work relationships can be hard. The stress of dealing with difficult people dampens our creativity and productivity, degrades our ability to think clearly and make sound decisions, and causes us to disengage. In Getting Along, workplace expert and Harvard Business Review podcast host Amy Gallo identifies eight familiar types of difficult coworkers—the insecure boss, the passive-aggressive peer, the know-it-all, the biased coworker, and others—and provides strategies tailored to dealing constructively with each one.

Artificial intelligence powers Google's search engine, enables Facebook to target advertising, and allows Alexa and Siri to do their jobs. AI is also behind self-driving cars, predictive policing, and autonomous weapons that can kill without human intervention. These and other AI applications raise complex ethical issues that are the subject of ongoing debate. This volume in the MIT Press Essential Knowledge series offers an accessible synthesis of these issues.

Drawing on the enduring wisdom of the Buddha, Confucius, Rumi, Gandhi, and others, The Art of Quiet Influence shows anyone, not just bosses, how to use influence without authority, a key mindfulness principle, to get things done at work and in life. Through the classic wisdom of 12 Eastern sages, relevant insights from influence research, and anecdotes and advice from 25 contemporary experts, Davis lays out a path for becoming a "mainspring", an unobtrusive yet powerful influencer.

A "brilliant, fun, and wise" (Cass R. Sunstein) tour of nine common business decision-making traps - and practical tools for avoiding them - from a professor of strategic thinking.

Derral Eves has generated over 60 billion views on YouTube and helped channels grow to one million subscribers from zero. In The YouTube Formula: How Anyone Can Unlock the Algorithm to Drive Views, Build an Audience, and Grow Revenue, the owner of the largest YouTube how-to channel provides the secrets to getting the results that every YouTube creator and strategist wants. Eves will reveal what listeners can't get anywhere else: the inner workings of the YouTube algorithm that's responsible for determining success on the platform, and how creators can use it to their advantage.

Each one of us is called to greatness. We can have a significant impact on the world around us - if we so choose. If you are looking to craft an extraordinary life, The Greatness Guide is the powerful and practical handbook that will inspire you. Passionate, provocative, and full of big ideas that will challenge and transform, The Greatness Guide is one of those rare books that will release your potential and awaken your best self. Make the leap today and learn what the best do to become even better.

Radical uncertainty changes the way we should think about decision-making. For over half a century economics has assumed that people behave rationally by optimizing among well-defined choices. Behavioral economics questioned how far people are rational, pointing to the cognitive biases that seem to describe actual behavior.