The fruit of the long history of John Brockman's profound engagement with the most important scientific minds who have been thinking about AI - from Alison Gopnik and David Deutsch to Frank Wilczek and Stephen Wolfram - Possible Minds is an ideal introduction to the landscape of crucial issues AI presents. The collision between opposing perspectives is salutary and exhilarating; some of these figures are deeply concerned with the threat of AI, including the existential one, while others have a very different view.   

In this book, you'll learn how: data science, driven by artificial intelligence and machine learning, is yielding unprecedented business insights; blockchain has the potential to restructure the economy; drones and driverless vehicles are becoming essential tools; 3-D printing is making new business models possible; augmented reality is transforming retail and manufacturing; smart speakers are redefining the rules of marketing; and humans and machines are working together to reach new levels of productivity. 

From making faster, better decisions to automating rote work to enabling robots to respond to emotions, AI and machine learning are already reshaping business and society. What should you and your company be doing today to ensure that you're poised for success and keeping up with your competitors in the age of AI? Artificial Intelligence: The Insights You Need from Harvard Business Review brings you today's most essential thinking on AI and explains how to launch the right initiatives at your company to capitalize on the opportunity of the machine intelligence revolution. 

From Blackstone chairman, CEO, and co-founder Stephen A. Schwarzman, a long-awaited book that uses impactful episodes from Schwarzman's life to show listeners how to build, transform, and lead thriving organizations. Whether you are a student, entrepreneur, philanthropist, executive, or simply someone looking for ways to maximize your potential, the same lessons apply.

Dr. Kai-Fu Lee - one of the world’s most respected experts on AI and China - reveals that China has suddenly caught up to the US at an astonishingly rapid and unexpected pace. 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.

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.

Filled with hundreds of specific examples and organized into a coherent framework of practical concepts that can be applied by managers and entrepreneurs at all levels, Built to Last provides a master blueprint for building organizations that will prosper long into the 21st century and beyond. 

Is your company spending too much time on strategy development - with too little to show for it? you listen to nothing else on strategy, you should at least hear these 10 articles.

Artificial Intelligence in Practice is a fascinating look into how companies use AI and machine learning to solve problems. Presenting 50 case studies of actual situations, this book demonstrates practical applications to issues faced by businesses around the globe. The rapidly evolving field of artificial intelligence has expanded beyond research labs and computer science departments and made its way into the mainstream business environment. Artificial intelligence and machine learning are cited as the most important modern business trends to drive success.  

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.

In their book Abundance, best-selling authors and futurists Peter Diamandis and Steven Kotler tackled grand global challenges, such as poverty, hunger, and energy. Then, in Bold, they chronicled the use of exponential technologies that allowed the emergence of powerful new entrepreneurs. Now the best-selling authors are back with The Future Is Faster Than You Think, a blueprint for how our world will change in response to the next 10 years of rapid technological disruption.

Agile, Lean, and DevOps approaches are radical game changers, providing a fundamentally different way to think about how IT fits into the enterprise, how IT leaders lead, and how IT can harness technology to accomplish the objectives of the enterprise. But honest and open conversations are not taking place between management and Agile delivery teams.

From Mike Michalowicz, the author of Profit First, Clockwork, and The Pumpkin Plan, comes the ultimate diagnostic tool for every entrepreneur.... The biggest problem entrepreneurs have is that they don't know what their biggest problem is. If you find yourself trapped between stagnating sales, staff turnover, and unhappy customers, what do you fix first? Every issue seems urgent - but there's no way to address all of them at once. The result? A business that continues to go in endless circles putting out urgent fires and prioritizing the wrong things.

In the spirit of Steve Jobs and Moneyball, Elon Musk is both an illuminating and authorized look at the extraordinary life of one of Silicon Valley's most exciting, unpredictable, and ambitious entrepreneurs - a real-life Tony Stark - and a fascinating exploration of the renewal of American invention and its new makers.

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.