MIT Technology Review·3 min read·medium

Building the enterprise environment for agentic AI

K
Keegan Sheedy, Lucas Melo
Building the enterprise environment for agentic AI
AI Summary

Intel research suggests that successful enterprise AI requires a robust system-level environment rather than just focusing on LLM inference. Key components include task orchestration, memory management, and scalable infrastructure to handle multi-step, goal-driven agentic workflows.

Enterprises will find success with a complete agentic AI environment where agents plan, retrieve, remember, and act reliably at scale.

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