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Every organization wants AI.
Faster insights. Greater automation. Smarter customer experiences. New opportunities for growth. But between ambition and execution, many organizations hit the same obstacle. Their data foundation wasn't built for what's coming next.
Data is spread across clouds, data centers, edge environments, and departmental silos. Governance requirements continue to evolve. Cyber threats are becoming more sophisticated. Infrastructure complexity grows with every new platform and initiative.
Then AI arrives and exposes all of it. Because AI doesn't just need data. It needs trusted data. Governed data. Accessible data.
And that's where many organizations discover they're less prepared than they thought.
The problem isn't a lack of AI strategy. It's years of accumulated complexity hiding underneath it. That's why data modernization has become more than an IT priority. It's now a business imperative.
Organizations need to support AI innovation, strengthen cyber resilience, meet evolving compliance requirements, and adapt to constant change, often while managing environments that were never designed for these demands. These challenges and the need to rethink how data is managed were highlighted in a recent industry discussion hosted by Hitachi Vantara.
The question is no longer whether modernization is necessary. It's whether your data foundation is ready for what's next. That’s why, Hitachi Vantara was named a Challenger in the 2026 Gartner® Magic Quadrant™ for Infrastructure Platform Consumption Services.
This 2026 report evaluates vendors on Completeness of Vision and Ability to Execute. Hitachi Vantara's EverFlex and VSP One portfolio delivers storage, compute, and data protection as-a-service across hybrid and multicloud environments, helping organizations simplify operations while unifying data management across block, file, and object storage.
For organizations pursuing AI, resilience, and modernization initiatives, the message is clear: success depends on more than adopting new technologies. It requires an infrastructure strategy capable of supporting continuous change.
Of course, understanding the challenge is only half the story. The next step is action.
In a recent discussion, industry experts from Omdia and Hitachi Vantara explored practical approaches to building a modern data infrastructure, including how organizations can become more data-centric, reduce technical debt, improve resilience, and create a foundation for future innovation.
→ Watch the On-Demand Discussion: Modernizing Your Data Infrastructure for the AI Era
Because the organizations that succeed with AI won't simply be the ones that adopt it first. They'll be the ones with a data foundation ready to support it.
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