AI-ready data is a conscious choice, and the organizations that lead the era of AI will be those that treat data as a strategic asset and culture as a force multiplier.

As enterprise AI adoption continues to accelerate, the Cyberhaven Labs 2026 AI Adoption & Risk Report underscores a widening divide between innovation and oversight. AI adoption is becoming uneven ...

Many US companies still resist recognizing data governance and structured management as a value center, but the regulatory ...

Informatica's survey of 600 CDOs reveals why AI pilots fail to scale: Organizations deployed generative AI faster than they ...

Open banking, embedded finance, and AI are changing where bank data flows. Data privacy now determines how far innovation can ...

SEBI Chairman Tuhin Kanta Pandey said data infrastructure has become a critical component of market stability, alongside ...

The data modernization will transform how data is collected, secured, integrated, analyzed and used across campus through data governance, said Madhavi Marasinghe, CIO for University IT.

Snowflake’s Artin Avanes explains why governance should be built into a small business’s data foundation to achieve ...

For decades, data governance in regulated financial institutions has rested on a familiar foundation. Policies are documented ...

In a Policy Forum, Doni Bloomfield and colleagues discuss the need for expanded – yet tailored and flexible – governance for the biological data used to develop powerful artificial intelligence (AI) ...

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

As artificial intelligence reshapes and transforms how we live and work across industries, a question demands our attention: ...