Enterprises are moving AI agents from experiments to production, and the key question is how to manage them. Google and AWS are taking opposite paths: Google emphasizes a Kubernetes-style control plane for governance and identity, while AWS pushes config-based harnesses in the execution layer for faster deployment. Both aim to reduce new risks like state drift in long-running agents.
A new report finds Indian enterprises are eager to deploy AI, but most remain far from large-scale implementation. Even after meaningful investments, progress is slowed by weak AI governance and poor alignment between business needs and execution. The report argues Learning and Development teams must shift from content delivery to decision support, building deeper capabilities for real AI adoption.
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