DBTA E-EDITION
July 2026
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Trends and Applications
In this clip from Data Summit 2026, Sanjeev Mohan, principal, SanjMo and former Gartner Research VP, data and analytics, demystifies the nature and critical elements of AI agents to arrive at a working definition of what distinguishes them from AI assistants.
With every organization currently wondering if their data is sufficient for AI, closing the gap between data ambition and operational reality requires more than just a technical roadmap. It requires the strategic discipline to translate major pain points into a narrative leadership can fund.
As AI becomes more agent-driven, data management must evolve just as quickly. AI agents need real-time data, trusted context, strong governance, and reliable orchestration to operate responsibly.
Columns - DBA Corner
In the world of database management, there are a handful of phrases that make experienced DBAs uneasy. Statements such as "we'll fix it in production" or "the database can handle it" usually signal that trouble is coming. But there is another phrase that may be even more dangerous: "It's just data."