Environment
Building enterprise platforms for agentic AI
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Brief
MIT Technology Review outlines the infrastructure needed to run agentic AI in business, including CPU capacity, resilient data access, policy-aware tool use, observability, and memory management. The piece frames agentic AI as software agents that can execute end-to-end business tasks across people, workflows, data, and systems.
Why It Matters
Enterprises may need substantial platform changes to safely and reliably deploy agentic AI across workflows and data systems.
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Source evidence 1 cited source
Evidence and Sources
- Agentic AI described as software agents executing end-to-end business tasks across people, workflows, data, and systems. [1]
- Key platform requirements listed include CPU capacity, resilient data access, policy-aware tool use, observability, and memory management. [1]
NadiAI generated this briefing from the source metadata listed above. Citations show which sources support each evidence point.
