Board members and senior executives are reassessing data governance and risk management at the enterprise level, citing five ...

State and local governments are embracing data modeling and governance strategies to advance efficiency, sharpen decision-making, and elevate their service delivery. In so doing, they’re helping ...

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 ...

Air Canada's chatbot hallucinated a bereavement policy that resulted in financial liability through a tribunal ruling. Meanwhile, NACD survey reports that while 62% of organization boards now hold ...

Abstract: The increasing reliance on artificial intelligence (AI) and advanced analytics to gain competitive advantages has elevated the importance of robust data governance frameworks. This article ...

China is advancing a state-directed data governance model that treats data as a national economic resource, building exchanges, infrastructure, and exportable frameworks through its Digital Silk Road.

Generative AI introduces new risks, challenges, and opportunities for how organizations source and use data. Here are four ways data governance teams are rising to the occasion. Data governance was on ...

Data fabric is a powerful architectural approach for integrating and managing data across diverse sources and platforms. As enterprises navigate increasingly complex data environments, the need for ...

AI has forced every CIO to confront a new mandate: that data governance can no longer be a gatekeeper. Instead, it must become an enabler. Companies that see value from AI often tend not to be those ...