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NetApp is shifting storage management to AI agents while maintaining human oversight over governance boundaries, addressing the critical need for consistent data infrastructure across hybrid environments. This approach highlights that successful enterprise AI deployment depends less on raw compute power and more on establishing unified data foundations and clear policy guardrails before automation takes control.
NetApp hands storage operations to AI agents, but humans still draw the boundaries
Artificial intelligence is turning nearly every enterprise workload into a data workload, and data governance is becoming the test of whether companies can trust autonomous systems with the infrastructure underneath. The question is no longer only where data lives, but what is allowed to act on it. Enterprise data now sits across on-premises data centers, […] The post NetApp hands storage operations to AI agents, but humans still draw the boundaries appeared first on SiliconANGLE.
Artificial intelligence is turning nearly every enterprise workload into a data workload, and data governance is becoming the test of whether companies can trust autonomous systems with the infrastructure underneath. The question is no longer only where data lives, but what is allowed to act on it. Enterprise data now sits across on-premises data centers, public clouds and neoclouds, and storage providers are racing to tie that infrastructure to production AI.…
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