Building a Data Foundation for AI Is a Rewarding Experienc
Hitachi Vantara, Monday, June 15th, 2026
AI runs on data, and global enterprises are awash with petabytes of data. That might suggest that it's easy for companies to advance their businesses through the power of AI.
Yet enterprise data is often fragmented across departmental and technological silos, and that data is often inconsistent, ungoverned and disconnected from mission-critical systems.
As a result, many AI initiatives stall before they can deliver operational value, and the root cause is rarely the model and 'According to Gartner, 'sixty-three percent of organizations either do not have or are unsure if they have the right data management practices for AI' and 'through 2026, organizations will abandon 60% of AI projects unsupported by AI-ready data.'
Our State of Data Infrastructure Global Report also makes clear that enterprise data readiness and AI maturity have a long way to go.