Prediction Machines

In his provocative new book, Dr. Kai-Fu Lee - one of the world’s most respected experts on artificial intelligence - reveals that China has suddenly caught up to the US, the leader in AI, at an astonishingly rapid pace. Building upon his longstanding US-Sino technology career (working at Apple, Microsoft, and Google) and his much-heralded New York Times Op-Ed from June 2017, Dr. Lee predicts that Chinese and American AI will have a stunning impact on not just traditional blue-collar industries but will also have a devastating effect on white-collar professions.

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.

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?

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.

Medicine has become inhuman, to disastrous effect. The doctor-patient relationship - the heart of medicine - is broken: doctors are too distracted and overwhelmed to truly connect with their patients, and medical errors and misdiagnoses abound. In Deep Medicine, leading physician Eric Topol reveals how artificial intelligence can help. AI has the potential to transform everything doctors do, from notetaking and medical scans to diagnosis and treatment, greatly cutting down the cost of medicine and reducing human mortality.

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 Measure What Matters, Doerr shares a broad range of first-person, behind-the-scenes case studies, with narrators including Bono and Bill Gates, to demonstrate the focus, agility, and explosive growth that the Objectives and Key Results system has spurred at so many great organizations. This book will help a new generation of leaders capture the same magic.

Whether we realize it or not, we all take risks large and small every day. Even the most cautious among us cannot opt out - the question is always which risks to take, not whether to take them at all. What most of us don't know is how to measure those risks and maximize the chances of getting what we want out of life. In An Economist Walks into a Brothel, Schrager equips listeners with five principles for dealing with risk, principles used by some of the world's most interesting risk takers.  

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.

Scott Galloway teaches brand strategy at NYU's Stern School of Business, but his most popular lectures deal with life strategy, not business. The Algebra of Happiness: Notes on the Pursuit of Success, Love, and Meaning draws on Professor Galloway's mix of anecdotes and no-BS insight to share hard-won wisdom about life's challenges, along with poignant personal stories.

Yuval Noah Harari’s 21 Lessons for the 21st Century is a probing and visionary investigation into today’s most urgent issues as we move into the uncharted territory of the future. As technology advances faster than our understanding of it, hacking becomes a tactic of war, and the world feels more polarized than ever, Harari addresses the challenge of navigating life in the face of constant and disorienting change and raises the important questions we need to ask ourselves in order to survive.

The team behind How Google Works returns with management lessons from legendary coach and business executive Bill Campbell, whose mentoring of some of our most successful modern entrepreneurs has helped create well over a trillion dollars in market value. Bill Campbell played an instrumental role in the growth of several prominent companies, such as Google, Apple, and Intuit, fostering deep relationships with Silicon Valley visionaries, including Steve Jobs, Larry Page, and Eric Schmidt.

The Age of Surveillance Capitalism is neither a hand-wringing narrative of danger and decline nor a digital fairy tale. Rather, it offers a deeply reasoned and evocative examination of the contests over the next chapter of capitalism that will decide the meaning of information civilization in the 21st century. The stark issue at hand is whether we will be the masters of information and machines or its slaves.  

In 2014, Theranos founder and CEO Elizabeth Holmes was widely seen as the female Steve Jobs: a brilliant Stanford dropout whose start-up “unicorn” promised to revolutionize the medical industry with a machine that would make blood testing significantly faster and easier. Backed by investors such as Larry Ellison and Tim Draper, Theranos sold shares in a fund-raising round that valued the company at more than $9 billion, putting Holmes’ worth at an estimated $4.7 billion. There was just one problem: The technology didn’t work.

From batting averages and political polls to game shows and medical research, the real-world application of statistics continues to grow by leaps and bounds. How can we catch schools that cheat on standardized tests? How does Netflix know which movies you'll like? What is causing the rising incidence of autism? As best-selling author Charles Wheelan shows us in Naked Statistics, the right data and a few well-chosen statistical tools can help us answer these questions and more.