AI may be the visible goal, but data architecture is what determines whether that goal can actually be achieved.

Enterprise data architecture has evolved to reshape how organizations find value in large-scale information assets. Businesses today generate exponentially more data in volume across all systems than ...

A lot of companies think they have an AI problem. What they really have is a coherence problem across operating model, architecture, and capital allocation.

The results are in! This comprehensive study tracks enterprise adoption rates and maturity across key architectural patterns - from cloud data warehouses and real-time analytics to data lakehouses, ...

As a guest on the Federal News Radio program in Washington, I was being asked about my experiences in reducing IT costs. Joining me on the program was Jerry Davis, the deputy CIO at NASA, who ...

Healthcare organizations are awash in data. But not every health system is able to utilize its data in ways that yield actionable insights or opportunities for performance improvement. Without a clear ...

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During a press Q&A at Confluent's Current 2025 conference this week in New Orleans, I asked CEO Jay Kreps whether it's useful to think about Confluent as establishing a "system of record for context" ...