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Operationalizing agentic AI: The Day 0-2 blueprint for enterprise infrastructure

Learn how Red Hat AI's platform supports bring your own agent (BYOA), providing operationalization for agent frameworks without code changes.

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redhat.comStai leggendo3 g fa

Operationalizing agentic AI: The Day 0-2 blueprint for enterprise infrastructure

Red Hat AI launches BYOA platform automating agent operationalization via OpenShell, providing identity, tracing, and sandbox isolation across frameworks without code changes. For tech teams, this eliminates hyperscaler lock-in and months of custom infrastructure, cutting time-to-production while automating governance and security as platform concerns.

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forbes.com23 h fa

Why AI Agents Fail In Production And What The Execution Gap Means

Gartner predicts 40% of agentic projects will fail because compound DOM errors mean 95%-accurate agents succeed on 20-step tasks only 30% of the time. Pre-processing pages into action maps lifts success 50%→85% while cutting tokens 95%; execution infrastructure, not intelligence, is the bottleneck.

Operationalizing agentic AI: The Day 0-2 blueprint for enterprise infrastructure

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Operationalizing agentic AI: The Day 0-2 blueprint for enterprise infrastructure

Why AI Agents Fail In Production And What The Execution Gap Means

Timeline cronologica

Agentic AI and big data: what your platform needs before agents are useful

What is metal to agents? Navigating the architecture of enterprise AI

Agentic AI and big data: what your platform needs before agents are useful

Red Hat links agentic AI infrastructure to platform control - SiliconANGLE

Operationalizing agentic AI: The Day 0-2 blueprint for enterprise infrastructure

Red Hat links agentic AI infrastructure to platform control - SiliconANGLE

Why AI Agents Fail In Production And What The Execution Gap Means