This book provides a brief synthesis of the known implementations, opportunities and challenges at the intersection of artificial intelligence (AI) and modern industry beyond the big-four companies that traditionally consume and produce such advanced technology: Facebook, Amazon, Microsoft and Google. With this information, the author also makes some reasonable claims about the role of AI in future industries. The book draws on a broad range of material, including reports from consulting firms, published surveys, academic papers and books, and expert knowledge available to the author due to numerous collaborations in academia and industry on AI. It is rigorous rather than speculative, drawing on known findings and expert summaries, where available. This provides industry leaders and other interested stakeholders with an accessible review of contemporary perspectives on AI’s forward-looking role in industry as well as a clarifying guide on the major issues that companies are likely to face as they commence on this exciting path.
Presents use-cases of AI currently being explored across Big Tech, multi-national corporations and start-ups
Explores the regulation of AI and its potential impacts on the workforce
Table des matières
Chapter 1. Artificial Intelligence: An Introduction.- Chapter 2. AI in Practice and Implementation: Issues and Costs ..- Chapter 3. AI in Industry Today.- Chapter 4. Augmented Artificial Intelligence.- Chapter 5. AI Ethics and Policy .- Chapter 6. What is on the horizon?.-
A propos de l’auteur
Mayank Kejriwal holds joint appointments as a Research Assistant Professor and Research Team Leader at the University of Southern California. His research in artificial intelligence and complex systems has been funded by corporations, the Department of Defense, and private foundations, and has been published in numerous journals and conference proceedings. He is the co-author of three books, including a definitive textbook on knowledge graphs, a frontier area of AI research.
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