Even as large language models have been making a splash with ChatGPT and its competitors, another incoming AI wave has been quietly emerging: large database models. Even as large language models have ...

The goal is not perfect data—an often impossible standard—but data sufficiently reliable for the decision it must support.​ ...

An enterprise conceptual data model is often seen as a high mountain to be climbed, a journey that will last a lifetime. People have visions of 10 feet or more of wall in the corporate offices ...

Data platforms make decisions all day. An SQL query keeps the rows over a threshold, matches a keyword, and joins two tables ...

Itau Unibanco acquires NeoSpace A.I. Technologies for $588 million, betting that two years of custom AI training on its own ...

Database provider Couchbase has unveiled a comprehensive suite of model hosting and data processing capabilities for building, deploying and governing agentic AI applications. By bringing data and ...

RushData is an integrated high-throughput platform combining 1-day CHO expression, rapid binding analytics, and early ...

Occasionally one may hear that a data model is “over-normalized,” but just what does that mean? Normalization is intended to analyze the functional dependencies across a set of data. The goal is to ...

Data models are used to represent real-world entities, but they often have limitations. Avoid these common data modeling mistakes to keep data integrity. Data modeling is the process through which we ...

Data’s role as a strategic asset has become increasingly prominent in recent years, chiseled into sharp relief by the numerous organizations using it successfully to respond to rapidly changing market ...