AI is forcing enterprises to rethink everything from hardware to governance, and most organizations are attacking it in silos.
Mano Bhattacharyya (CTO, Nutanix) breaks down why AI isn't just an application layer problem, but an end-to-end transformation that spans compute (GPUs, ARM, DPUs), data management (unclean enterprise data, knowledge graphs), security (agent gateways, MCP server risks), and economics (token costs vs. usage explosion). He explains why CIOs need cross-functional AI committees, not isolated strategies, and why use case driven AI beats exploratory projects that burn budgets in months.
The solution is to form AI committees where CIO, CTO, and CDO work together, not in silos. Focus on use case driven AI by learning from peers, rather than exploratory AI that becomes a budget trap. Start with small prototypes with dedicated use cases, not a free-for-all where every team tries something.
Chapters
0:00 AI as an End-to-End Infrastructure Challenge
2:16 Networking, Storage, and Bare Metal VM Performance
4:43 Agent Security, Gateways, and Enterprise Governance
6:33 Use Case Driven AI and Learning from Peers