At the 34th group study session of the Political Bureau of the 19th Central Committee of the Communist Party of China in ...

Expertise from Forbes Councils members, operated under license. Opinions expressed are those of the author. In the ever-evolving landscape of data management and utilization, it's crucial to address ...

Organizations know that leveraging data and insights to inform decisions leads to better outcomes. Surprisingly, though, Forrester finds that fewer than 10% of enterprises are advanced in their ...

Join our daily and weekly newsletters for the latest updates and exclusive content on industry-leading AI coverage. Learn More Digital transformation has fundamentally changed how businesses interact ...

While there are powerful technology solutions available to professionals today, especially AI-based ones, none will perform ...

Mature programs have fewer shadow copies, faster time to accurate dashboards and fewer arguments over definitions. Incidents ...

The topic of data governance is one that’s been well-trod, even if not all companies follow the widely accepted precepts of the discipline. Where things are getting a little hairy these days is AI ...

The rules which were notified on 13 November raise the threshold of compliance for Significant Data Fiduciaries, which ...

Why is data literacy important to data governance? Your email has been sent Data literacy is a key component of data governance. Learn why it’s important to data ...

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 ...

In 2022, the global data governance market grew to $3.2 billion, a figure that’s dwarfed by the significant cost to operate data governance programs. In spite of the spend, many programs fail to ...

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.