"orchestration layer"

AMD challenges Nvidia’s AI dominance with Helios, new Instinct GPUs, EPYC processors, ROCm.ai software, and major customer deployment plans.

Most organizations aim to be AI-forward, but their legacy infrastructure may already be costing them the race.

Discussions often focus on hallucinations, but institutions frequently encounter a different challenge altogether: fragmented knowledge.

Get the orchestration layer right, and the move from chat to voice becomes an extension of an asset you’ve already built.

The narrative that RAG is dead has been repeated by enough credible voices that many engineering leaders have started to believe it.

Competitive advantage will depend less on the quantity of technology implementations and more on the ability to integrate modernization init...

The category we must build is the AI capability operating system: the human-AI symphony.

In many ways, payouts are following the same trajectory as cloud computing.

Organizations need people who can turn AI capability into secure, measurable, governed production systems.

Healthcare fails in coordination, not capability. Yet most innovation still targets the wrong layer. ​