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

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

In today’s enterprise environments, data no longer functions as a record of what has happened. It operates as a live substrate through which decisions are executed, policies are enforced, and ...

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

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 ...

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

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 ...

Organisations are beginning to implement zero-trust models for data governance thanks to the proliferation of poor quality AI ...

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.