How can organizations ensure robust data governance and security while providing various departments with self-service data ...

Learn the key considerations for measuring and improving your data governance training outcomes, such as goals, metrics, curriculum, delivery, evaluation, and feedback.

Asset managers and fintechs face new compliance rules as €35m (US$36.2m) penalties loom for breaches of EU's sweeping AI ...

AI is also proving to be a game-changer in AML compliance, streamlining processes that have traditionally been ...

AI's immense economic potential by 2030 necessitates robust digital literacy and governance. Diverse frameworks tailored to ...

January is marked as Data Privacy Day with the purpose of raising awareness and promoting privacy and data protection best ...

Though most people have thought of analytics and AI as belonging to completely separate worlds, those spheres are converging.

With AI creating a need for knowledge engineering, information science (as we used to call it) has come full circle. It comes ...

high-quality insights from this data is dependent on effective data governance. Implementing data governance is critical, but like all data initiatives, it requires internal adoption and ...

In my discussions with CIOs over the last several years, they have repeatedly told me that they strongly dislike traditional data governance. And asked at times, could they just be data custodians.