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

When governance is engineered into how data is created and used, it accelerates access, experimentation, model development ...

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

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

Data governance is transforming the world of business and IT as organizations increasingly acknowledge and embrace the importance of data in the modern world. And this transformation significantly ...

The ongoing dive into modernity—and all the new technologies and hype trains that come along with it—requires a modern data architecture to support it. With this architecture comes a variety of other ...

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 ...

The field of data and analytics is rapidly growing and evolving, requiring creativity, skill and a deep understanding of emerging technologies, particularly in data governance. Advanced strategies for ...

The implications of AI for data governance and security don’t often grab the headlines, but the work of incorporating this ...

India's AI framework proposes a layered, lifecycle approach. But how will it work in practice, and what challenges does it ...

How do indexing protocols support DAO governance? Learn how this Web3 middleware transforms raw data into actionable insights for tracking votes and monitoring smart contract security.

Almost every business today uses cloud technology to store, share, and manage data in a digital-first economy. There are clear benefits to scalability, flexibility, and cost savings, but moving to the ...