Outdated, duplicated, or misplaced data blocks agentic AI. Enterprises must inventory, grade and ensure real-time data access for seamless workflows.

Data quality testing platform Soda Data NV today announced the launch of SodaGPT, a data management platform that uses generative artificial intelligence to help users define data quality expectations ...

Forbes contributors publish independent expert analyses and insights. Gary Drenik is a writer covering AI, analytics and innovation. We are almost three years past the fanfare of ChatGPT’s big debut ...

AI is becoming a standard feature of the global wealth management toolkit. But contrary to popular belief, it does not necessarily level the playing field so much as it exposes the quality of data ...

Integrating AI into chip workflows is pushing companies to overhaul their data management strategies, shifting from passive storage to active, structured, and machine-readable systems. As training and ...

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

DQM is becoming a core capability for organizations that need to make better decisions with data. What are the responsibilities of different roles in DQM? Image: WrightStudio/Adobe Stock Data quality ...

Data quality management efforts — tied to disrupting innovations, rapid market shifts and regulation pressures — will continue to grow in 2023 and take on a more dominant role in the data management ...