Outdated, duplicated, or misplaced data blocks agentic AI.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

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 ...

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 ...

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 ...

Jay Como was hired by T. Rowe Price in 2023, just as generative AI was rippling across the capital markets. Rather than having data quality as a hindrance to AI ...

SAN FRANCISCO--(BUSINESS WIRE)--Monte Carlo, the data and AI observability company, today announced a series of product enhancements and new capabilities at its annual IMPACT Data Observability Summit ...

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 ...

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 ...

As data sources and volumes grow exponentially year by year, we are seeing an increasing interest in automated solutions for managing data quality. So much data is being generated and consolidated so ...