Dhubaib, principal technologist at Rubrik, explores how data complexity and task complexity serve to increase uncertainty when working with AI systems and trusting the quality of the summaries they ...

Data operationalization, complemented by the pragmatic deployment of AI use cases with said data, is, at its core, a move ...

Most data teams discover quality problems the same way: a dashboard looks wrong, a stakeholder files a ticket, and an engineer traces the damage backward through the pipeline. By then, the bad data ...

It’s been three-and-a-half years since generative AI exploded onto the scene. In this past year, progress has continued its relentless pace: Vibe coding took off, companies embraced agentic workflows, ...

Abstract: Regular path queries (RPQs) in graph databases are bottlenecked by the memory wall. Emerging processing-in-memory (PIM) technologies offer a promising solution to dispatch and execute path ...

Abstract: Just-in-time learning (JITL) has become a widely used industrial process modeling tool. With the advent of the industrial big data era, rich data information has brought new opportunities to ...

Travis Gettys is a senior editor for Raw Story based in northern Kentucky. He previously worked as a web editor for WLWT-TV and a contributing writer for the Kentucky Enquirer, and he also wrote for ...

PolarDB for PostgreSQL (hereafter simplified as PolarDB) is a cloud native database service independently developed by Alibaba Cloud. This service is 100% compatible with PostgreSQL and uses a ...

Data teams building AI agents keep running into the same failure mode. Questions that require joining structured data with unstructured content, sales figures alongside customer reviews or citation ...