MongoDB Inc. is making its play for the hearts and minds of artificial intelligence developers and entrepreneurs with today’s announcement of a series of new capabilities designed to help developers ...

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 ...

Clinical data management is entering a new phase as AI automates EDC build, shortens timelines, and enables data teams to focus on quality.

How to Improve Cancer Patients ENrollment in Clinical Trials From rEal-Life Databases Using the Observational Medical Outcomes Partnership Oncology Extension: Results of the PENELOPE Initiative in ...

New release adds global database connections, logical datasources, relational validation and flexible inspections to ...

Picture this: The year is 2030, and you’re living in a world where retailers can predict consumer behavior with uncanny accuracy, healthcare providers are diagnosing diseases before symptoms escalate ...

Over the years, the field of data engineering has seen significant changes and paradigm shifts driven by the phenomenal growth of data and by major technological advances such as cloud computing, data ...

Organizations often force the DBA to take on the job of data modeling. That does not mean that DBAs are well-trained in data modeling, nor does it mean that DBAs are best suited to take on this task.

Thanks to a boom in generative artificial intelligence, programs that can produce text, computer code, images and music are readily available to the average person. And we’re already using them: AI ...

Once, the world’s richest men competed over yachts, jets and private islands. Now, the size-measuring contest of choice is clusters. Just 18 months ago, OpenAI trained GPT-4, its then state-of-the-art ...