Artificially generated data can help to train AI models when real data are scant, but more focus is needed on validating the ...

AI can’t deliver full value unless it’s fed a complete picture of structured data from systems of record, combined with ...

Today's enterprises need unified semantic layers that seamlessly connect traditional BI, GenBI applications, and emerging AI workloads. As organizations face challenges in making enterprise data truly ...

With the advent of the data-driven era, NL2SQL technology has emerged, enabling users to generate database query statements using simple natural language, significantly lowering the barriers to data ...

Soo Kim announced on the 8th of September that the team has developed a new DB system named 'Chimera' that fully integrates ...

For a long time, companies have been using relational databases (DB) to manage data. However, with the increasing use of ...

Sydney Zoo is streamlining its data architecture, using Microsoft Fabric to consolidate multiple siloed databases into a ...

Tal Melenboim, the visionary behind VFR.ai and StyleTech.ai, champions the cause of high-quality data as the cornerstone of ...

Why is the language developers and DBAs use to organize data such a mess? Here are 13 reasons we wish we could quit SQL, even ...

The core value of conversational BI lies in lowering the threshold for data analysis and promoting "data democratization." Traditional BI requires users to master SQL, OLAP, and possess data thinking ...

Powerful data architecture that fuels business intelligence across enterpriseIssued by KeyrusJohannesburg, 05 Sep 2025 Powerful cloud data architecture. An investment and service company with ...

Why write SQL queries when you can get an LLM to write the code for you? Query NFL data using querychat, a new chatbot ...