An architecture for engineering AI context

Ensuring reliable and scalable context management in production environments is one of the most persistent challenges in applied AI systems. As organizations move from experimenting with large language models (LLMs) to embedding them deeply into real applications,...

7 safeguards for observable AI agents

Many organizations are under pressure to take their AI agent experiments and proof of concepts out of pilots and into production. Devops teams may have limited time to ensure these AI agents meet AI agent non-negotiable requirements for production deployments,...

When Windows 11 sneezes, Azure catches cold

If you look at Microsoft as a collection of product lines, it is easy to conclude that Windows 11 and Azure occupy different universes. One is a client operating system that has irritated its users, confused administrators, and pushed hardware refresh cycles in ways...