Data modeling, at its core, is the process of transforming raw data into meaningful insights. It involves creating representations of a database’s structure and organization. These models are often ...

This transcript was prepared by a transcription service. This version may not be in its final form and may be updated. Ishit Vachhrajani: Having data and putting data to use is good, but how do you do ...

Trust is fragile, and that's one problem with artificial intelligence, which is only as good as the data behind it. Data integrity concerns -- which have vexed even the savviest organizations for ...

The generative AI boom is fueling a 'shadow war for data.' AI companies have used information scraped from the internet for model training. A backlash is brewing as content creators realize their data ...

eSpeaks’ Corey Noles talks with Rob Israch, President of Tipalti, about what it means to lead with Global-First Finance and how companies can build scalable, compliant operations in an increasingly ...

The real issue behind the data science skills gap isn’t what you may think Your email has been sent The data science skills gap is not here because there aren’t enough people who can train and analyze ...

In the new book, “Data is Everybody’s Business,” authors Barbara Wixom, Cynthia Beath and Leslie Owens, do something important. They ground everyone in data fundamentals. The authors suggest this is a ...

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.

The personalized customer experience that came naturally to shopkeepers of the past is generally missing in today’s rapidly changing consumer landscape. Now, delivering that same level of connection ...

The Department for Work and Pensions (DWP) has published a “data strategy” document that sets out what it believes it will take to become an organisation transformed by data usage by 2030. This ...