12d β’ Data for AI
ποΈ AI is the Ultimate Stress Test (And Most Are Failing)
A new global report from Hitachi Vantara (Feb 2026) delivers a brutal verdict: AI is stripping the paint off your data infrastructure. The study categorizes organizations into three maturity levels:
- Emerging (24%): Stuck in manual processes, risk-averse, unable to scale.
- Defined (35%): The "Danger Zone." Making marginal progress but lacking the strategy to truly execute.
- Optimized (41%): The winners. They use governance not just for compliance, but for resilience.
The Key Stat: 48% of "Optimized" companies use predictive, automated scaling. Only 4% of "Emerging" companies do. The gap isn't closing; it's exploding.
If you are in the "Defined" category, you are risking irrelevance. You have the tools, but not the governance backbone to automate them. AI doesn't fix broken processes; it accelerates them.
Letβs Discuss:
- The "Defined" Trap: Many of us feel like we are making progress, but are we just documenting chaos? Are you stuck in the middle?
- Infrastructure as Governance: The report links "resilience" directly to governance. Do you see your infrastructure team as part of your governance strategy, or are they still siloed?
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ποΈ AI is the Ultimate Stress Test (And Most Are Failing)
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