Data Volume, Quality, and Model Degradation for AI at Scale - with Sunitha Rao of Hitachi Vantara

Why It Matters
The conversation frames AI at scale as a data‑centric challenge that requires integrated, eco‑conscious infrastructure investments.
Summary
In this interview, Sunitha Rao, SVP of Hybrid Cloud Business at Hititech Vantara, discusses how enterprises can modernize data infrastructure to handle growing data volumes while maintaining quality, and how to prevent model degradation as AI scales. She highlights the role of Hitachi Vantara’s storage, cloud management, and sustainability‑focused solutions in enabling reliable, scalable AI deployments across industries. The conversation frames AI at scale as a data‑centric challenge that requires integrated, eco‑conscious infrastructure investments.
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