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 ...

What's possible when AI models can learn from additional health data modalities to create a more complete understanding of ...

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 ...

The era of the one-size-fits-all database has been over for some time. IT shops realized years ago that not all the data their organizations needed to store, process and present to end users neatly ...

Overcome Excel PowerPivot limitations by importing data into Power BI Desktop. Publish to the service and connect multiple ...

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 ...

Tech-enabled SaaS growth companies are among the most progressive companies when it comes to making use of data science. In a global survey conducted by McKinsey Analytics in 2020, only 16% of ...