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

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.

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 ...

Batch processing — updating data at set intervals rather than in real time — is a primary driver of service debt. According ...

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, ...

Driving innovation in enterprise data architecture, SAP modernization, and cloud analytics across Fortune 500 organizations In the face of rapidly evolving enterprise IT needs, Govindaraja Babu ...

Stelo, a leader in enterprise data replication, today announced expanded support for Microsoft Fabric, enabling organizations to stream live data into Microsoft Fabric in near real time to power ...

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 ...

Flexible, power-efficient AI acceleration enables enterprises to deploy advanced workloads without disrupting existing data ...