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.
Core Takeaways
- Tanase emphasized that most organizations are not being held back by lack of enthusiasm about AI, but by the practical difficulty of managing siloed, multi-format data that requires governance before it can be turned into business value.
- He argued that production AI depends on infrastructure that brings data closer to compute, scales efficiently, and supports secure, governed pipelines across both cloud and traditional data center environments.
- Hitachi Vantara is positioning Hitachi IQ as an integrated AI stack, with Hitachi IQ Studio serving as the framework for automating business workflows and building autonomous, agentic modules on top of that infrastructure.
- Looking ahead, Tanase said enterprises should prioritize reputable vendors and integrated ecosystems rather than point solutions, because AI adoption will continue to be shaped by security, governance, and operational simplicity for at least the next several years.
Key Quotes
AI Is Ultimately a Data Story
“There’s one common theme, and that has to do about data. Companies are looking to leverage AI to get more insights on the data, to make that data actionable and help them compete in the marketplace.”
“The data challenges are broad. Data’s in silos, data’s in different type of formats, data requires governance. So many companies struggle in implementing, operationalizing their AI pipelines.”
Governance Remains a Major Enterprise Obstacle
Companies are struggling with their data strategy. “I think companies and even governments have deemed AI as a matter of national security or survival. So they’re investing in sovereign clouds. They’re investing in having control and governance on that data.”
“I don’t think there is a blueprint there. Many of the companies are learning how to operate with their data estate, with data infrastructure. So there’s a lot of innovation, there’s a lot of excitement, even though companies are struggling.”
Hitachi’s Pitch Is Integrated Infrastructure Plus Automation
“Hitachi IQ is a complete stack from the data to networking to the scale out file system to the GPU compute. It’s a solution that we put together in partnership with Nvidia, with Cisco, with Hammerspace, with WEKA. It’s integrated with virtualization solutions. It’s integrated with security. It’s integrated with data governance solutions.”
“The Hitachi IQ Studio is a tool and a framework that can be applied to a business process, something that is perhaps manual or risky or time consuming. Hitachi IQ Studio can take a few data sources and a workflow and transform that into an autonomous module that the business could use to drive a specific outcome.”
Enterprises Need Trusted, Integrated AI Partners
“There’s no one company that provides an end-to-end AI solution. So customers should be looking for companies and vendors that have a track record of building integrated solutions because those integrated solutions tend to be simpler. They tend to be better tested, they tend to be scalable.”
“They give you the right controls on your data, on your infrastructure, on your outcomes. So look for a reputable vendor of technology that really does the good job of integrating the different pieces of infrastructure, of data pipelines, of business outcomes, all into a solution.”
