AI agents, LLMs, RAG, MCP, Copilots, enterprise AI architecture, operations and governance — with an emphasis on what these technologies actually change.
EUC, VDI, DaaS, remote experience, identity, ZTNA, secure application access and the architecture behind modern digital workspaces.
Separating agent architecture and enterprise capability from product terminology.
Understanding context, tools and the emerging integration layer around AI systems.
Re-examining centralized desktops as enterprise architectures and operating models evolve.
A decision that increasingly depends on workload, operations, security and control.
A practical framework for understanding the layers of enterprise AI.
Moving beyond the simple cloud-versus-datacenter comparison.