OpenAI Inc. released a customizable model Wednesday it says can help users spot and redact personally identifiable ...

A new kind of large language model, developed by researchers at the Allen Institute for AI (Ai2), makes it possible to control how training data is used even after a model has been built.

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, ...

A guide to the 10 most common data modeling mistakes Your email has been sent Data modeling is the process through which we represent information system objects or entities and the connections between ...

Public health systems sit on mountains of data — yet insight remains scarce. The organizations closing that gap aren’t just investing in better dashboards. They’re fundamentally rethinking who gets to ...

Quest Software Inc., the former Dell Technologies Inc. business unit that’s focused on enterprise data management and security, today announced a major update to its popular erwin Data Intelligence ...

It seems like everyone wants to get an AI tool developed and deployed for their organization quickly—like yesterday. Several customers I’m working with are rapidly designing, building and testing ...

Attribution has been the holy grail for advertisers since the beginning of time, especially for media platforms that typically sit further away from the conversion and play a role in branding (i.e., ...

Data clustering is the process of grouping data items so that similar items are placed in the same cluster. There are several different clustering techniques, and each technique has many variations.