Discover how agentic AI is reshaping databases. Explore critical insights and prepare for the future of data management today!

The purpose of the Text-to-SQL task is to bridge the gap between natural language and SQL queries. Current approaches mainly rely on large language models (LLMs), but employing them for Text-to-SQL ha ...

Learn how Power BI Analytics in Microsoft BI uses data modeling, DAX, Power Query M, and a data gateway to build secure, ...

LLMs are quietly reshaping data journalism workflows at The Hindu, helping reporters process vast document sets, write ...

Explore the best data analytics tools for enterprises in 2026 that harness AI and advanced analytics to improve data-driven decision-making. Uncover key features, pricing, and ideal use cases to boost ...

Proprietary warehouses delivered scale — but at the cost of control, predictable pricing, and real flexibility. Enterprises are doing the math.

KeeperDB integrates database access into a zero-trust PAM platform, reducing credential sprawl and improving security, ...

The web framework IHP 1.5.0 brings a new database layer, significant performance gains, and an improved modular architecture.

Bengaluru techie opens up about interviewing a 13-year-experienced candidate who failed basic coding and SQL.

Indirect prompt injection lets attackers bypass LLM supervisor agents by hiding malicious instructions in profile fields and contextual data. Learn how this attack works and how to defend against it.

Faculty members at Northeast Community College are beginning to integrate artificial intelligence tools into their classrooms ...