How The Top Organizations Make AI Work: A Playbook For Leaders [Forbes]
International Business Machines Corporation (IBM)
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Source: Forbes
3. Iterate Relentlessly—Fail Fast, Learn Faster Excellence in AI depends on disciplined experimentation. As Ethan Mollick explains in his article, " The Bitter Lesson versus The Garbage Can ," progress comes from rapid iteration and continuous learning—not rigid control. The best-run companies institutionalize this mindset, running short, data-driven pilots that evolve constantly instead of chasing perfect, one-off solutions. McKinsey's “Lighthouse” manufacturing plants, for instance, maintain AI “command centers” capable of launching or killing pilots within weeks, reducing waste by up to and reducing energy consumption by 10% to 25%. Executives should fund dozens of low-cost, well-defined experiments rather than a few moonshots, each tied to clear stop-or-scale decision gates anchored in business KPIs. 4. Upskill And Orchestrate Cross-Functional Teams Technology alone doesn't boost yield or diagnostic accuracy—those gains come from collaboration among process engineers, d
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