CIOs aiming to scale generative AI must move past the honeymoon phase and confront seven key challenges. They must focus on real business problems rather than experiments, integrate AI components effectively, and control costs that extend beyond models to operations and change management. To scale, they need to streamline tools, build teams that create business value, and ensure data quality. Reusable solutions and cloud infrastructures are crucial to sustaining growth. By addressing these realities, CIOs can harness the transformative potential of gen AI across their organizations.

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