Prediction Machines, Updated and Expanded

Description: Prediction Machines Updated and ExpandedBy Ajay Agrawal Joshua Gans Avi Goldfarb Prediction Machines: The Economic Framework for Understanding AIPrediction Machines, written by Ajay Agrawal, Joshua Gans, and Avi Goldfarb, offers a fresh perspective on the rise of artificial intelligence (AI) and its profound impact on various aspects of our lives. The authors present AI as a drop in the cost of prediction, dispelling the notion that it is a magical force. By framing AI in this way, they provide economic clarity and a basis for action for executives, policy makers, investors, and entrepreneurs.In this updated edition, the authors delve into the extraordinary potential of AI when viewed as a tool for prediction. They emphasize that prediction lies at the heart of decision-making amid uncertainty, which is a common challenge faced by businesses and individuals alike. Prediction tools powered by AI can significantly increase productivity by automating tasks such as operating machines, handling documents, and communicating with customers. Moreover, better prediction capabilities enable new business strategies to emerge, as uncertainty no longer constrains decision-making.The book has had a striking impact since its initial publication, and the authors provide insights into how its arguments and implications are playing out in the real world. They also explore the role of prediction in decision-making processes and discuss the influence of foundational technologies like quantum computing on business choices.Prediction Machines offers penetrating insights and practical guidance for navigating the changes brought about by AI. It dispels the fear and hype surrounding AI, replacing them with a clear understanding of its economic implications. The authors' expertise in economics and AI allows them to present a comprehensive framework that helps readers make sense of the AI revolution.Ajay Agrawal, one of the authors, is a Professor of Strategic Management and the Geoffrey Taber Chair in Entrepreneurship and Innovation at the University of Toronto's Rotman School of Management. He is also the founder of the Creative Destruction Lab and the Metaverse Mind Lab, as well as a co-founder of NEXT Canada and Sanctuary. His extensive experience in entrepreneurship and innovation adds depth to the book's insights.Joshua Gans, another author, holds the Jeffrey S. Skoll Chair of Technical Innovation and Entrepreneurship and is a Professor of Strategic Management at Toronto's Rotman School of Management. He serves as the Chief Economist of the Creative Destruction Lab and is involved in various academic and research endeavors. Gans brings his expertise in technical innovation and entrepreneurship to the book, enriching the discussion on AI's impact.Avi Goldfarb, the third author, is the Rotman Chair in Artificial Intelligence and Healthcare and a Professor of Marketing at Toronto's Rotman School of Management. He is also the Chief Data Scientist at the Creative Destruction Lab and a fellow at Behavioral Economics in Action at Rotman. Goldfarb's expertise in AI and marketing contributes to the book's practical insights and real-world applications.Prediction Machines is published by Harvard Business Review Press, a renowned publisher known for its high-quality business and management books. The book is available in hardcover format, with 272 pages and a weight of 550 grams. It falls under the genre of Artificial Intelligence and Industries, making it a valuable resource for those interested in the intersection of science, math, and AI.The intended audience for Prediction Machines includes young adults and adults who seek a deeper understanding of AI's economic implications. The book is accessible to readers from various backgrounds, as the authors present complex concepts in a clear and concise manner.

Price: 25.82 USD

Location: Huntingdon Valley, Pennsylvania

End Time: 2024-11-01T17:40:39.000Z

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