The closer organizations come to harmonizing accuracy, accessibility and AI, the more effectively they can unlock value that ...

Whether an organization is large or small, private or public, many chief data officers (CDOs) are dealing with the exponential growth of their data. Based on my experience working with leading ...

Angela Virtu, a professor of business analytics and A.I. at American University’s Kogod School of Business, examines why most ...

Data governance was always seen as risk management, and still is. But there's another way, and that's going on offense. What’s your data strategy? Is it aggressive and innovative? Or focused on risk ...

Data governance (DG) is a component of data management that focuses on managing access, use, quality and security of enterprise data. Data management in a data governance program is based on internal ...

As India’s digital economy matures and the DPDP Act reshapes accountability, privacy is increasingly seen as a marker of ...

Absent a comprehensive federal AI framework, agencies should be guided by four governance priorities. While the federal ...

In banking, data governance is about meeting both regulatory and internal requirements. Find out what's required of your data governance plans by reading this guide ...

Data governance involves the comprehensive management of data availability, usability, quality, and security. At Purdue University, data governance is supported by a collaborative data community ...

As artificial intelligence adoption accelerates and economic uncertainty continues to pressure technology budgets, CIOs are ...

Data governance should be a top priority for every organization due to the risks and benefits directly linked to it. Poor data governance can lead to performance issues, lawsuits and fines. Even more ...

Financial services data leaders face a fundamental paradox: they have unprecedented access to data assets, yet they continue ...