Gemini’s new enterprise agent can delegate tasks, choose underlying models, and coordinate work across systems.

Much of the focus on last year’s high-profile agent debacle was on the action taken. But that’s nothing compared to the potentially catastrophic reporting and auditing blind spot of agentic systems.

Every AI system combines two kinds of intelligence. The neural side—the large language model (LLM)—is fluent,creative, and ...

AI is making engineers more essential, not obsolete, as they shift into foreman roles that set intent, enforce quality and ...

In this episode of DEMO, Waseem Bhatti, principal solutions architect at UnifyApps, shows how the company's agentic operating ...

Stop betting on the perfect AI model; build a data foundation that lets you swap models freely while you keep control of your ...

Your adoption dashboard tells you who showed up. It cannot tell you who quietly stopped coming back, and only one of those ...

Faster AI workflows mean little if every transaction costs more; the real test of automation is whether it improves margins, ...

The new capabilities are designed to help enterprises move from one-off AI projects to continuous workflow automation.

AI may make software testing cheap, but it can’t automate the hardest part: knowing what quality actually looks like.

The choice between managed services and infrastructure you control sets the ceiling on what you’ll ever know about AI spend.

Mobile lifecycle is a security decision, not a procurement line item. See how Samsung Galaxy Enterprise Edition puts support ...