Archival Data Profile
- Page Count 304
- Publication Year 2022
- Publisher Harvard Business Review Press
- ISBN-13 9781647824679
Prediction Machines, Updated and Expanded
By Ajay Agrawal
Archival Summary & Scope
Named one of "The five best books to understand AI" by The Economist, *Prediction Machines* offers a surprisingly simple economic framework for understanding artificial intelligence. Three eminent economists reframe the rise of AI as a fundamental drop in the cost of prediction, providing economic clarity on the AI revolution and a basis for action for executives, policymakers, investors, and entrepreneurs. This updated edition illustrates how cheap prediction informs decision-making, increases productivity, and creates new business strategies. New material explains AI's role in decision-making processes and the impact of foundational technologies like quantum computing. Insightful and practical, this book helps readers navigate AI's profound changes.Archival Categorization Notes
This literature has been indexed under the primary pillar of Technology. It was manually vetted for the Read For Truth database because it provides educational insights into Artificial Intelligence, assisting researchers in locating established secondary research within this specific taxonomy.