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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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.
Data Unification Enables AI Value
- AI depends on unified access to heterogeneous data across databases, files and object stores.
- Lakehouse-style architectures that span on-prem and cloud unlock more valuable AI use cases.
Data Gravity And Interface Fragmentation
- Data gravity makes moving datasets inefficient and costly, so metadata-driven access matters.
- Multiple interfaces and APIs across storage types add operational friction and security concerns.