Light Reading Podcasts AI and the future of high-end block storage
Dec 3, 2025
Octavian Tanasi, Chief Product Officer at Hitachi Vantara, shares his insights on how AI is revolutionizing enterprise infrastructure. He explains the shift from traditional applications to AI workloads, highlighting the unique challenges enterprises face, such as skills shortages and complexity. Octavian emphasizes the importance of unifying diverse data types and introduces VSP360, a unified control plane for better governance. He also discusses the integration of sustainability in design and the vision for autonomous data systems. Tune in for a look at the future of high-end block storage!
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AI Reshapes Infrastructure Priorities
- AI is reshaping infrastructure needs across scale, power, sovereignty and skills.
- Enterprises face rising pressure to adapt architectures and operations to support AI workloads.
Workloads Have Evolved Toward Agentic AI
- AI workloads evolved from predictive ML to generative and agentic AI that can act on workflows.
- This evolution moves AI from analytics into operational decisioning and automation.
Address Skills And Time-To-Value First
- Invest in skills and simplify pipelines to reduce time to value for AI initiatives.
- Account for cost, complexity and talent gaps when planning AI infrastructure investments.