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 ...

In the rapidly evolving field of computational intelligence, there is a pressing demand for advanced tools and algorithms that can significantly transform ...

Artificially generated data can help to train AI models when real data are scant, but more focus is needed on validating the ...

When designing an effective enterprise data strategy, organizations often choose between a top-down and a bottom-up approach. Each method has its unique advantages and is suitable for various ...

Private cloud gives firms a single-tenant environment with strict boundaries. This matters for AI because of how models ...

Please provide your email address to receive an email when new articles are posted on . There is great potential in using AI-trained data models to detect and specify neurologic conditions. Adding ...

Lilly is opening up its proprietary AI models to biotech companies that want to use them to jumpstart their science.

Enterprises are creating huge amounts of data and it is being generated, stored, accessed, and analyzed everywhere – in core datacenters, in the cloud distributed among various providers, at the edge, ...

Google Cloud (GCP) has introduced Data Transfer Essentials, which removes data transfer fees for multicloud workloads in the ...

At its heart, data modeling is about understanding how data flows through a system. Just as a map can help us understand a city’s layout, data modeling can help us understand the complexities of a ...