As tools like generative AI become increasingly mainstream, the quality and accessibility of enterprise data has become more important than ever before. Many organizations are rethinking their data ...

As more organizations embrace AI, it is vital to document the policies and procedures that govern its use. Here are seven questions that define effective AI governance. “You can use whatever AI tool ...

AI governance cannot live solely within IT. It requires cross-functional oversight. Many institutions are creating AI ...

Leon Gordon is a leader in data analytics, a current Microsoft MVP based in the U.K. and a partner at Pomerol Partners. As an experienced leader in data analytics, I truly believe that data is one of ...

School districts collect vast amounts and varieties of data, from student performance and attendance to staff information and operational systems. Ideally, this data can enable informed ...

More than any other factor, the hyperabundance of accessible data has powered today’s surge in AI adoption and generative AI capability. Collecting, cleaning, organizing, and securing that data for AI ...

eSpeaks’ Corey Noles talks with Rob Israch, President of Tipalti, about what it means to lead with Global-First Finance and how companies can build scalable, compliant operations in an increasingly ...

What is a data governance program? Your email has been sent Data governance programs are getting more and more attention in the corporate world, especially in industries that rely heavily on big data.

Companies investing in unified, managed and rich data layers will drive innovation in the coming decade. Through these efforts, AI systems, such as retrieval-augmented generation (RAG) and autonomous ...

As data sovereignty becomes a board-level priority, how can enterprises contain their risk.