IBM puts agentic workloads at the heart of its AI operating model
IBM has developed an operating model for handling agentic workloads, which represent a new operational challenge as autonomous AI systems take on ongoing business responsibilities. The approach draws from IBM's experience working with clients scaling AI across their organizations. Organizations deploying such systems must ensure proper governance and support for autonomous decisions and actions throughout their technology stack.
Key points
- IBM addresses operational challenges of deploying autonomous AI systems in enterprises
- Model informed by client experiences scaling AI across organizations
- Requires integrated support across data, applications and infrastructure
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