In a world where human interactions and behaviour are more pivotal than ever to business success, Working with Influence sets out nine easy-to-apply principles, based on robust behavioural science, for influencing people and outcomes in both physical and digital working scenarios. It provides ambitious professionals with a set of actionable principles which will help them kick-start, accelerate or transform their careers.

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.

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.

Tony Fadell led the teams that created the iPod, iPhone and Nest Learning Thermostat and learned enough in 30+ years in Silicon Valley about leadership, design, startups, Apple, Google, decision-making, mentorship, devastating failure and unbelievable success to fill an encyclopedia.

Embark on a compelling exploration into the world of AI, where future reality meets boundless possibility. Can you afford to remain in the dark? When you watch a movie suggested by Netflix's AI, talk to your favorite brand's chatbot, or follow your car's navigation to the new restaurant in town, you interact with AI. Most people are spectators rather than actors in this fast-evolving digital epoch. This is where the insightful journey author Will Davis guides you on will change your perspective.

One need not look hard to see how the incredible advances in artificial intelligence, cryptocurrencies, biotechnologies, and the Internet of things are transforming society in unprecedented ways. But the fourth industrial revolution is just beginning, says Schwab. And at a time of such tremendous uncertainty and such rapid change, he argues it's our actions as individuals and leaders that will determine the trajectory our future will take.

Microsoft's CEO tells the inside story of the company's continuing transformation, tracing his own personal journey from a childhood in India to leading some of the most significant technological changes in the digital era. As much a humanist as engineer and executive, Nadella concludes with his vision for the coming wave of intelligent technologies and a distinct call to action for leaders everywhere.

Leading innovation expert Alec Ross explains what's next for the world, mapping out the advances and stumbling blocks that will emerge in the next 10 years - for businesses, governments, and the global community - and how we can navigate them.

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.

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.

In a world of self-driving cars and big data, smart algorithms and Siri, we know that artificial intelligence is getting smarter every day. Though all these nifty devices and programs might make our lives easier, they're also well on their way to making "good" jobs obsolete. A computer winning Jeopardy might seem like a trivial, if impressive, feat, but the same technology is making paralegals redundant as it undertakes electronic discovery, and is soon to do the same for radiologists.

Machine learning is changing the world. You use machine learning every day and probably don’t know it. In this audiobook, you will learn how ML grew from a desire to make computers able to learn.

In this book, Amy Webb reveals the pervasive, invisible ways in which the foundations of AI - the people working on the system, their motivations, the technology itself - is broken. Within our lifetimes, AI will, by design, begin to behave unpredictably, thinking and acting in ways which defy human logic. The big nine corporations may be inadvertently building and enabling vast arrays of intelligent systems that don't share our motivations, desires, or hopes for the future of humanity.

The subject of “design thinking” is the rage at business schools, throughout corporations, and increasingly in the popular press - due in large part to work of IDEO, a leading design firm, and its celebrated CEO, Tim Brown, who uses this audiobook to reveal how the techniques and strategies of design belong at every level of business. Change by Design is an audiobook for creative leaders seeking to infuse design thinking into every level of an organization, product, or service to drive new alternatives for business and society.

If you've been following the news, you probably know that artificial intelligence is taking over. Self-driving trucks, face recognition, machines, and automatic cashiers are becoming the replacement for regular human beings. If you want to learn more about artificial intelligence, where it comes from, how some of it works, and what the future might look like, this audiobook is for you.

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.

In The Second Machine Age, Andrew McAfee and Erik Brynjolfsson predicted some of the far-reaching effects of digital technologies on our lives and businesses. Now they’ve written a guide to help listeners make the most of our collective future. Machine | Platform | Crowd outlines the opportunities and challenges inherent in the science fiction technologies that have come to life in recent years, like self-driving cars and 3D printers, online platforms for renting outfits and scheduling workouts, or crowd-sourced medical research and financial instruments.

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.

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 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 widening gap between rich and poor means dealing with one big, uncomfortable truth: If you're not at the top, you're at the bottom. The global labor market is changing radically thanks to growth at the high end and the low. About three quarters of the jobs created in the United States since the great recession pay only a bit more than minimum wage. Still, the United States has more millionaires and billionaires than any country ever, and we continue to mint them.

This book predicts the decline of today's professions and describes the people and systems that will replace them. In an Internet society, according to Richard Susskind and Daniel Susskind, we will neither need nor want doctors, teachers, accountants, architects, the clergy, consultants, lawyers, and many others to work as they did in the 20th century.

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.

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.

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.

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?

Facebook's founding is legend: In a Harvard dorm, wunderkind Mark Zuckerberg invented a new way to connect with friends...and the rest is history. But for the people who actually molded this great idea into a game-changing $300 billion company, the experience was far more tumultuous and uncertain than we might expect. Mike Hoefflinger was one of those Facebook insiders.

When most of us think about artificial intelligence, our minds go straight to cyborgs, robots, and sci-fi thrillers where machines take over the world. But the truth is that artificial intelligence is already among us. It exists in our smartphones, fitness trackers, and refrigerators that tell us when the milk will expire. In some ways the future people dreamed of at the World's Fair in the 1960s is already here. We're teaching our machines how to think like humans, and they're learning at an incredible rate.

Space entrepreneur turned innovation pioneer Peter H. Diamandis and award-winning science writer Steven Kotler document how progress in artificial intelligence, robotics, digital manufacturing synthetic biology, and other exponentially growing technologies will enable us to make greater gains in the next two decades than we have in the previous 200 years.

The best-selling author of Big Data is back, this time with a unique and in-depth insight into how specific companies use big data. Big data is on the tip of everyone's tongue. Everyone understands its power and importance, but many fail to grasp the actionable steps and resources required to utilise it effectively. This book fills the knowledge gap by showing how major companies are using big data every day, from an up-close, on-the-ground perspective.