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 teams deliberately and carefully design their training datasets, they can actively reduce bias, mitigate risk and ...

We’re in a hinge moment for AI. The experiments are over and the real work has begun. Centralizing data, once the finish line, is now the starting point. The definition of “AI readiness” is evolving ...

One of the biggest challenges with artificial intelligence today is the quality of data. Many models were trained on the internet, full of falsehoods and lies. This is particularly a problem in ...

Google DeepMind researchers have a new way to take toxic data and clean it for AI training. It could prove to be a powerful ...

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, ...

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 ...

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 ...

A resource from the MetroLab Network offers local governments guidance about data governance policy and best practices. The resource, titled Model Data Governance Policy & Practice Guide, offers ...

The field of data science has already delivered incredible results in finding business problems and creating models which generate market insights. But bad or failing models can also deliver erroneous ...