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

Enterprises face challenges scaling AI beyond pilots as legacy systems, governance gaps, and infrastructure constraints hold them back. The post Overcoming barriers to database modernisation in the AI ...

Learn how Veeam and Azure VMware Solution simplify migration planning, reduce downtime, and ensure recoverability for ...

DataVeil Technologies has released DataVeil Version 5, adding support for PostgreSQL and extending its static data masking solution ...

Recent SQL Server 2025, Azure SQL, SSMS 22 and Fabric announcements highlight new event streaming and vector search capabilities, plus expanding monitoring and ontology tooling -- with tradeoffs in ...

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

Modern semantic search does not have to require a separate vector database. Data architects, database engineers, developers, or platform leaders can integrate Vertex AI and Cloud SQL vector indexes ...

In 2026, entry-level and transition roles often expect more than passive course completion. Employers want to see that you can write queries that answer business questions, work with browser logic, ...

Open-source platform with 30+ MCP tools lets AI agents autonomously create pipelines, query databases, search vector ...

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 ...