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 ...

When AI models fail to meet expectations, the first instinct may be to blame the algorithm. But the real culprit is often the data—specifically, how it’s labeled. Better data annotation—more accurate, ...

The Financial Services Sector Coordinating Council's idea for describing data and its sources is starting to take off.

WeatherNext 3 is also supposed to be much better at predicting precipitation.

Google DeepMind and Google Research have released a new global weather forecasting model, called WeatherNext 3, that trains ...

AI models never remain static; they inevitably drift over time. This makes continuous output monitoring and model drift mitigation vital to any ongoing AI strategy. AI systems are developed using ...

Network data models provide a representation of a network's configuration, state and policies. These models abstract various network components and describe how they interact with each other, which ...

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 ...

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 ...