McKinsey April 23, 2021
Where many companies tire of marginal gains from early AI efforts, the most successful recognize that the real breakthroughs in AI learning and scale come from persisting through the arduous phases.
This report was a collaborative effort by Yuval Atsmon, Kim Baroudy, Pallav Jain, Sunil Kishore, Brian McCarthy, Sumesh Nair, and Tamim Saleh, representing views from McKinsey’s Technology, Media & Telecommunications (TMT) and Digital Practices
Table of contents
1. Introduction
2. Mapping a more rewarding AI journey
3. Key lessons from AI leaders
3.1 Fund aggressively when conditions for success are in place
3.2 Build density in domains
3.3 Bring a rounded set of skills and invest in productivity
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