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

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

To help leaders address these challenges, the global IT research and advisory firm has recently published Data Priorities 2026. The report provides CIOs and CDOs with a structured view of the most ...

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 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 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 ...

Gartner predicts that by 2028, 50% of organizations will have had to adopt a zero-trust posture for data governance as a ...

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

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 ...

Dataiku’s field chief data officer for Asia-Pacific and Japan discusses how implementing AI governance can accelerate innovation while mitigating the risks of shadow AI ...

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