Learn how LLMs are transforming schema matching through semantic reasoning while deterministic validation keeps enterprise ...

A step-by-step guide for DevOps teams on reviewing, testing, and enforcing policy checks on AI-generated SQL before it ...

When AI-driven detection underperforms, the instinct is to tune the algorithm, retrain the model or push the vendor for a ...

In a landmark moment for Indian artificial intelligence, fintech leader Paytm has developed Prism, a proprietary ...

Irresistible force, meet immovable object. Tech leaders are under pressure to satisfy growing demand for AI while keeping a lid on costs. That is becoming harder as Anthropic, OpenAI, and GitHub shift ...

Microsoft shipped SQL Server Management Studio 22.7.0 on Wednesday, June 10, 2026, in what the team called one of the bigger point releases in the 22.x cycle. Database developers who have spent years ...

After two years of pilots and proofs of concept, in 2026, enterprises are beginning to move agentic systems into production. These agents can reason, plan, and act inside live business workflows. That ...

DBeaver for Windows helps developers manage databases, write SQL, browse data, and connect to multiple engines from one desktop tool. Download DBeaver for Windows to get a powerful universal database ...

I’ve seen a lot of promising AI prototypes fall apart after launch. And it’s rarely because the model was bad. More often, the problem starts much earlier; teams treat the data layer like something ...

DataHub, a leading context platform company, is introducing a major new release of DataHub Cloud that can ingest, structure, improve, and serve trusted context to analytics agents, increasing their ...

How schema-aware AI SQL tools are reducing query failures, improving accuracy rates up to 90%, and helping non-technical teams access enterprise data without waiting for analysts. AI-driven SQL tools ...

Organisations today operate in an environment shaped by AI-driven applications, real-time decision-making, hybrid architectures and growing pressure to extract greater value from existing data assets.