This book will provide the reader with an easy to understand roadmap for how to take an organization through the adoption of AI technology. It will first help with the identification of which business problems and opportunities are right for AI and how to prioritize them to maximize the likelihood of success. Specific methodologies are introduced to help with finding critical training data within an organization and how to fill data gaps if they exist. With data in hand, a scoped prototype can be built to limit risk and provide tangible value to the organization as a whole to justify further investment. Finally, a production level AI system can be developed with best practices to ensure quality with not only the application code, but also the AI models. Finally with this particular AI adoption journey at an end, the authors will show that there is additional value to be gained by iterating on this AI adoption lifecycle and improving other parts of the organization. This book provides the following benefits: Organizations know they need to leverage AI but they need the described proven roadmap to enable this journey. This book identifies common pitfalls that businesses run into when adopting AI and describes how to avoid them. Enables organizations to get a handle on their data (one of their most valuable assets) which is typically not well organized and scattered throughout different parts of the business. Describes, at a high level, how to build and manage AI models which is different than traditional application code practices. Covers the challenges and best practices of using AI at scale in a production environment. Applies automated testing methodologies to AI models to ensure quality improves with each iteration

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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. Most experts already say that AI will have a devastating impact on blue-collar jobs. But Lee predicts that Chinese and American AI will have a strong impact on white-collar jobs as well. Is universal basic income the solution? In Lee’s opinion, probably not. But he provides a clear description of which jobs will be affected and how soon, which jobs can be enhanced with AI, and most importantly, how we can provide solutions to some of the most profound changes in human history that are coming soon.

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An assessment of the revolutionary potential of artificial intelligence and robotics traces how technology arrived at this point and how artificial life, machine consciousness, extreme prosperity, and technological warfare will be hotly debated issues of the near future. A great turning point in the history of our species is at hand. AI and robotics are poised to redefine what it means to be human. So … what exactly does that mean for you? In [this book], Byron Reese suggests that technology has fundamentally reshaped humanity just three times in history: 100,000 years ago, we harnessed fire, which led to language; 10,000 years ago, we developed agriculture, which led to cities and warfare; and 5,000 years ago, we invented the wheel and writing, which led to the nation-state. Now, we are on the doorstep of a fourth great change brought about by two technologies: artificial intelligence and robotics. The Fourth Age provides extraordinary background and context on how we got to this point, and how– rather than what–we should think about the complex web of topics we’ll soon all be facing: machine consciousness, automation, drastic shifts in employment and the workforce, creative computers, radical life extension, artificial life, the ethics of AI, autonomous warfare, superintelligence, and extreme prosperity, to name only a few. By asking questions like

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As the world becomes ever more dominated by technology, John Brockman’s latest addition to the acclaimed and bestselling Edge Question series asks more than 175 leading scientists, philosophers, and artists: What do you think about machines that think?The development of artificial intelligence has been a source of fascination and anxiety ever since Alan Turing formalized the concept in 1950. Today, Stephen Hawking believes that AI could spell the end of the human race.

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David Ryan is the designer of ELOPe, an email language optimization program that, if successful, will make his career. But when the program is suddenly in danger of being cancelled, David embeds a hidden directive in the software, accidentally creating a runaway artificial intelligence

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In 1956 two Bell Labs scientists discovered the scientific formula for getting rich. One was mathematician Claude Shannon, neurotic father of our digital age, whose genius is ranked with Einstein’s. The other was John L. Kelly Jr., a Texas-born, gun-toting physicist. Together they applied the science of information theory–the basis of computers and the Internet–to the problem of making as much money as possible, as fast as possible. Shannon and MIT mathematician Edward O. Thorp took the Kelly formula

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The interaction of man and machine can make our lives easier. But what will the world look like when algorithms control our hospitals, our roads, our culture, and our national security? It used to be that to diagnose an illness, interpret legal documents, analyze foreign policy, or write a newspaper article you needed a human being with specific skills–and maybe an advanced degree or two. These days, high-level tasks are increasingly being handled by algorithms that can do precise work not only with speed but also with nuance. These bots

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