HBRS 10 MUST READS ON ARTIFICIAL INTELLIGENCE
HBRS 10 MUST READS ON ARTIFICIAL INTELLIGENCE
How to stay ahead in a world transformed by AI. If you read nothing else on artificial intelligence, read this book. Weve chosen a new selection of current and classic Harvard Business Review articles that will help you make sense of the evolving generative AI landscape, manage regulation and risk, and develop a strategy that keeps pace with technological change. This book will inspire you to: Help your people and technology work better together Redesign roles, workflows, and capabilities Keep your AI projects on track Address gen AIs quality control and waste problems Harness the potential of agentic AI Embed AI in the core of your business This collection of articles includes `For Success with AI, Bring Everyone on Board,` by David De Cremer: `Bring Human Values to AI,` by Jacob Abernethy, Francois Candelon, Theodoros Evgeniou, Abhishek Gupta, and Yves Lostanlen: `From Prediction to Transformation,` by Ajay Agrawal, Joshua Gans, and Avi Goldfarb: `How AI Can Help Managers Think Through Problems,` by Elisa Farri and Gabriele Rosani: `The Gen AI Playbook for Organizations,` by Bharat N. Anand and Andy Wu: `Agentic AI Is Already Changing the Workforce,` by Jen Stave, Ryan Kurt, and John Winsor: `Keep Your AI Projects on Track,` by Iavor Bojinov: `How to Marry Process Management and AI,` by Thomas H. Davenport and Thomas C. Redman: `The Hidden Penalty of Using AI at Work,` by Oguz A. Acar, Phyliss Jia Gai, Yanping Tu, and Jiayi Hou: `Heavy Machinery Meets AI,` by Vija...
Data sheet
- Język
- PL
- Ilość stron
- 240
- Data premiery
- 2026-05-12
- Rodzaj okładki
- MIĘKKA
- Termin realizacji
- 72
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