This book considers how we might think intelligently about the future. Taking different methodological approaches, well-known specialists forecast likely future developments and trends in human life.

Why wonder or worry about the future? God has given you a sneak preview. With all that’s transpiring in the world, people can’t help but wonder what the future holds. Will there ever be peace on earth? How long will the world live under the threat of terrorism? Is a one-world ruler on the horizon? God has already provided answers to these questions in the book of Daniel, which sets forth His blueprints for the future. In fact, when you understand the prophecies Daniel reveals, every other prophecy in the Bible will fit somewhere in the plan. If you want to understand the future, if you want to know what will happen in the “end of days,” you need to begin with the prophecies of the Book of Daniel. Join me on this glorious adventure into the future. --Kay Arthur The 40-Minute Bible Studies tackle vital issues in short, easy-to-grasp lessons for personal or group use–with no homework required.

This resource is filled with a combination of true life experiences, proven facts, and biblical truths that can give life new meaning and purpose.

The relationship between management and digital technology: experts present a new agenda for the practice of management. Digital technology has profoundly affected the ways that businesses design and produce goods, manage internal communication, and connect with customers. But the next phase of the digital revolution raises a new set of questions about the relationship between technology and the practice of management. Managers in the digital era must consider how big data can inform hiring decisions, whether new communication technologies are empowering workers or unleashing organizational chaos, what role algorithms will play in corporate strategy, and even how to give performance feedback to a robot. This collection of short, pithy essays from MIT Sloan Management Review, written by both practitioners and academic experts, explores technology's foundational impact on management. Much of the conversation around these topics centers on the evolving relationship between humans and cognitive technologies, and the essays reflect this—considering, for example, not only how to manage a bot but how cognitive systems will enhance business decision making, how AI delivers value, and the ethics of algorithms. Contributors Ajay Agrawal, Robert D. Austin, David H. Autor, Andrew Burgert, Paul R. Daugherty, Thomas H. Davenport, R. Edward Freeman, Joshua S. Gans, Avi Goldfarb, Lynda Gratton, Reid Hoffman, Bala Iyer, Gerald C. Kane, Frieda Klotz, Rita Gunther McGrath, Paul Michelman, Andrew W. Moore, Nicola Morini-Bianzino, Tim O'Reilly, Bidhan L. Parmar, Ginni Rometty, Bernd Schmitt, Alex Tapscott, Don Tapscott, Monideepa Tarafdar, Catherine J. Turco, George Westerman, H. James Wilson, Andrew S. Winston

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 ten years—for businesses, governments, and the global community—and how we can navigate them. While Alec Ross was working as Hillary Clinton's Senior Advisor on Innovation, he traveled to forty-one countries. He visited some of the toughest places in the world—from refugee camps of Congo to Syrian war zones. From phone-charger stands in Rwanda to R&D labs in South Korea, Ross has seen what the future holds. Over the past two decades, the Internet has radically changed markets and businesses worldwide. InThe Industries of the Future, Ross shows us what's next, highlighting the best opportunities for progress and explaining why countries thrive or sputter. He examines the specific fields that will most shape our economic future over the next ten years, including cybercrime and cybersecurity, the commercialization of genomics, the next step for big data, and the coming impact of digital technology on money, payments, and markets. And in each of these realms, Ross addresses the toughest questions: How will we have to adapt to the changing nature of work? Is the prospect of cyberwar sparking the next arms race? How can the world's rising nations hope to match Silicon Valley in creating their own innovation hotspots? Ross blends storytelling and economic analysis to give a vivid and informed perspective on how sweeping global trends are affecting the ways we live, incorporating the insights of leaders ranging from the founders of Google and Twitter to defense experts like David Petraeus. The Industries of the Future takes the intimidating, complex topics that many of us know to be important and boils them down into clear, plain-spoken language. This is an essential work for understanding how the world works—now and tomorrow—and a must-read for businesspeople, in every sector, from every country.

“Artificial intelligence has always inspired outlandish visions—that AI is going to destroy us, save us, or at the very least radically transform us. Erik Larson exposes the vast gap between the actual science underlying AI and the dramatic claims being made for it. This is a timely, important, and even essential book.” —John Horgan, author of The End of Science Many futurists insist that AI will soon achieve human levels of intelligence. From there, it will quickly eclipse the most gifted human mind. The Myth of Artificial Intelligence argues that such claims are just that: myths. We are not on the path to developing truly intelligent machines. We don’t even know where that path might be. Erik Larson charts a journey through the landscape of AI, from Alan Turing’s early work to today’s dominant models of machine learning. Since the beginning, AI researchers and enthusiasts have equated the reasoning approaches of AI with those of human intelligence. But this is a profound mistake. Even cutting-edge AI looks nothing like human intelligence. Modern AI is based on inductive reasoning: computers make statistical correlations to determine which answer is likely to be right, allowing software to, say, detect a particular face in an image. But human reasoning is entirely different. Humans do not correlate data sets; we make conjectures sensitive to context—the best guess, given our observations and what we already know about the world. We haven’t a clue how to program this kind of reasoning, known as abduction. Yet it is the heart of common sense. Larson argues that all this AI hype is bad science and bad for science. A culture of invention thrives on exploring unknowns, not overselling existing methods. Inductive AI will continue to improve at narrow tasks, but if we are to make real progress, we must abandon futuristic talk and learn to better appreciate the only true intelligence we know—our own.