At NVIDIA GTC, Octavian Tanase, Chief Product Officer at Hitachi Vantara, described enterprise AI as a market moving rapidly from experimentation toward real-world deployment, but still constrained by familiar obstacles around data silos, governance, security, and operational complexity.

His central argument was that AI success is ultimately a data and infrastructure challenge: companies need better control of fragmented data estates, closer alignment between data and compute, and integrated platforms that can help them turn prototypes into production systems.

Tanase also positioned Hitachi Vantara’s strategy around that transition. He outlined Hitachi iQ as a full-stack AI infrastructure offering spanning storage, networking, file systems, GPU compute, security, and governance, and described Hitachi iQ Studio as the layer that enables enterprises to automate workflows and build agentic, outcome-driven applications.

Across the conversation, he stressed that enterprises are still learning, that no single vendor can deliver the full AI stack alone, and that the winners will be those that combine strong partnerships, integrated systems, and disciplined governance to make AI both scalable and usable.