AI risk lives at the schema layer, not the model. Learn why database governance matters more than model governance for ...

Longtime local government data platform architect and analyst joins SplashBI after using its solutions firsthand to ...

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

Artificial intelligence does not exist in a vacuum. Behind every well-trained model, every accurate recommendation engine, ...

Could help break silos, but users should take wait-and-see approach to system limited to Microsoft DBs and DBaaS ...

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 ...

Microsoft aims to build cutting-edge AI models by 2027, signaling a shift away from reliance on OpenAI and a push to compete ...

Leaked documents reveal Anthropic’s next AI model, Mythos, with major gains in coding and cybersecurity, raising new questions about AI risks.

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 ...

Discover how Thuuyen Le bridges the gap between complex financial data and executive decision-making to drive banking ...

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