To scale generative AI (gen AI), companies need a robust operating model centered around data, technology, and clear governance. Key steps include avoiding pitfalls like "tech for tech" without business value, and fragmented "trial and error" approaches. A structured model should focus on prioritizing data management, using component-based development, and creating specialized AI teams. It's essential to balance centralized oversight with decentralized innovation to ensure efficient AI deployment, while also managing risks like compliance and data security for successful, scalable AI transformation.

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