Browsing: enterprise

“Agents fail in ways that are hard to see,” Microsoft wrote in the blog post. “They drift from policy, produce…

Reducing the integration tax of enterprise AI The ability to share AI assets without creating duplicate copies could help reduce…

The goal is to help developers build more accurate and context-aware AI systems while reducing the complexity of integrating web…

Cloud computing has reached a crossroads. The high cost and data sensitivity of AI workloads are raising the appeal of…

Enterprise AI is becoming an operational discipline problem Most enterprises already operate in fragmented environments where ERP platforms sit separately…

Agents will be vetted for a series of risks, including prompt injection, jailbreak and goal hijacking, system prompt extraction, leaks…

Scale becomes manageable when GenAI is treated as a service with explicit constraints and measurable outcomes. It’s best to rely…

Announced today, the project will commit $5 billion and 20,000 IBM and Red Hat engineers to build a new ‘enterprise…

As part of this new architecture, Informatica said that it is effectively breaking apart its traditional Intelligent Data Management Cloud…

We see value in the idea. Decision traces are crucial because they reveal the observable reasoning behind how decisions were…