The Deep Learning AI Playbook: Strategy for Disruptive Artificial Intelligence

Deep Learning Artificial Intelligence involves the interplay of Computer Science, Physics, Biology, Linguistics and Psychology. In addition to that, it is technology that can be extremely disruptive. The ramifications to society and even our own humanity will be profound. There are few subjects that are as captivating and as consequential as this. Surprisingly, there is very little that is written about this new technology in a more comprehensive and cohesive way. This book is an opinionated take on the developments of Deep Learning AI. One question many have will be "how to apply Deep Learning AI in a business context?" Technology that is disruptive does not automatically imply that its application to valuable use cases will be apparent. For years, many people could not figure out how to monetize the World Wide Web. We are in a similar situation with Deep Learning AI. The developments may be mind-boggling but its monetization is far from being obvious. This book presents a framework to address this shortcoming.

深度學習人工智慧涉及計算機科學、物理學、生物學、語言學和心理學的相互作用。除此之外，這項技術可能極具破壞性。對社會甚至我們自身的人性都將產生深遠的影響。很少有主題像這樣引人入勝且具有重大意義。令人驚訝的是，關於這項新技術的綜合且有凝聚力的文獻非常少。本書是對深度學習人工智慧發展的一種主觀觀點。許多人會問「如何在商業環境中應用深度學習人工智慧？」破壞性技術並不意味著其在有價值的應用案例中的應用顯而易見。多年來，許多人無法弄清楚如何從網際網路中獲利。我們在深度學習人工智慧方面面臨類似的情況。這些發展可能令人難以置信，但其商業化遠非明顯。本書提出了一個框架來解決這個缺點。