This article explores how enterprises are transitioning from AI pilot projects to full operational capabilities.
- •Organizations are moving past proof-of-concept phases and facing new challenges in scaling AI systems
- •The shift requires changes in infrastructure, governance, and organizational processes
- •Operational AI demands reliability, monitoring, and integration with existing enterprise workflows
- •Leadership and cultural alignment are key factors in successfully deploying AI at scale
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