Most projects benefit from having a data model. Read this article for an overview of the most common types.

Fractured and incomplete datasets are a key barrier towards effectively training AI models for deployment in healthcare settings.

As more patients gain access to their own health data through wearable devices, healthcare providers must develop a collaborative approach to care.

Oxford scholars found that large language models fed a diet of 'cannibal' data, created by other LLMs, sink into complete gibberish.

This article proposes a new method for analysing panel data based on modelling heterogeneity of individuals or entities as a regime-switching process. There are several advantages to this approach.

S&P Global Completes Acquisition of TeraHelix, strengthening advanced data modelling and linking capabilities PR Newswire NEW YORK, June 9, 2025 ...

MongoDB Deepens Relationship with Microsoft through New Integrations for AI and Data Analytics and Microsoft Azure Arc Support Published Nov 19, 2024 9:00am EST ...