As a result of the partnership, the EDM Council will offer its members subsidized training and certification across data management disciplines, such as data quality, data governance, master 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 ...

Princeton held its first research data management workshop Jan. 28-Feb. 1 for graduate students and other researchers. Attendees spent five afternoons attending short lectures and participating in ...

In the rapidly evolving landscape of healthcare, the role of Clinical Data Management (CDM) is gaining prominence as a crucial driver of innovation and progress. This blog explores the future of ...

Universities must tighten the quality of the data entered into AI models to improve the output generated by tools such as chatbots. Universities have been cautious adopters of artificial intelligence.