AI Impact looks at how AI search is reshaping discovery, why IT services feels squeezed and what better context means for agents.

Actian’s Ole Olesen-Bagneux explains why AI agents need metadata, lineage, context, and governance before enterprises can trust them at scale.

AI systems inherit decades-old security flaws many organizations still fail to address consistently.

Spread the love“`html Connecting to a MySQL database is a crucial skill for developers, data analysts, and anyone working with data management systems. Whether you’re building a web application, ...

In the realm of data management, MySQL stands out as one of the most popular relational database management systems (RDBMS) worldwide. Whether you’re a budding developer, a seasoned programmer, or a ...

Blockchain data tells a story, but only if you know how to read it. Every transaction, wallet movement, and smart-contract interaction leaves a public footprint that reveals how users, investors, and ...

One of the greatest weaknesses of AI agents that read and understand vast amounts of enterprise data is "hallucination"—the ...

Jeongho Park, engineer at GraphAI and second author; Donghyoung Han, CTO of GraphAI and third author; Geonho Lee ...

One of the greatest weaknesses of AI agents that read and understand vast amounts of enterprise data is "hallucination" — the generation of ...

* Query compression involves taking the user's query and the preceding conversation, then asking the LLM * to "compress" this into a single, self-contained query.

HIGHLIGHTS An Inferred Mineral Resource of 760,000 tonnes at 3.6 g/t Au for 87,000 oz contained gold is reported for the ...

Abstract: The motivation of this paper is to be able to generate high-quality (Structured Query Language) SQL language sentences in terms of syntax and semantics so that they are intended to achieve a ...