Building Enterprise Environments for Agentic AI
AI Summary
Agentic AI in the enterprise goes beyond chatbots, enabling software agents to execute complex business tasks end-to-end. Building the right platform requires robust CPU capacity, resilient data access, policy-aware tool use, observability, and memory management. Intel's research highlights that agentic AI is a systems problem, emphasizing capacity planning by agents per vCPU and monitoring task latency over average CPU utilization.
⚡ Marketer Insight
The true enterprise value of agentic AI lies in its ability to orchestrate complex workflows, not just perform inference. Marketers must understand that successful deployment hinges on a robust, scalable infrastructure that supports end-to-end task execution and governance.
Original article
MIT Technology Review