The data layer underneath an agentic system must handle variable schemas, vector embeddings, real-time retrieval, and ...

Abstract: Nowadays, the data used for decision-making come from a wide variety of sources which are difficult to manage using relational databases. To address this problem, many researchers have ...

One of the greatest weaknesses of AI agents that read and understand vast amounts of enterprise data is "hallucination"—the generation of plausible-sounding but factually incorrect information. KAIST ...

Artificial Intelligence (AI) agents based on Retrieval-Augmented Generation (RAG) technology are rapidly proliferating. RAG ...

I’ve spent the last several months writing about what I believe is the central problem in enterprise AI. Not the models. Not ...

The reason enterprise AI remains stubbornly artisanal is not because models are too weak. It is not because context windows are too short, or agents need better prompts, or companies are resisting ...

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 ...

What do you think of when you hear the name IBM? Maybe the first things you think about are home computers or business laptops. Maybe you think of IBM as a company that runs data centers. It's not ...

Investopedia contributors come from a range of backgrounds, and over 25 years there have been thousands of expert writers and editors who have contributed. Amy is an ACA and the CEO and founder of ...

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 ...

Microsoft has launched a database management tool it promises will help users manage multiple databases sharing a single SQL engine. With the vendor's Fabric data platform, Database Hub promises a ...

On Friday the 13th of March 2026, M.Sc. Valter Uotila defends his PhD thesis on Quantum Computing Methods for Query Optimization in Relational Databases. The thesis is related to research done in the ...