15h
The trust paradox killing AI at scale: 76% of data leaders can't govern what employees already use
Informatica's survey of 600 CDOs reveals why AI pilots fail to scale: Organizations deployed generative AI faster than they ...
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 ...
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 ...
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 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 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 ...
The implications of AI for data governance and security don’t often grab the headlines, but the work of incorporating this ...
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 ...
CU Boulder collects, uses and maintains a significant amount of data. This includes, but is not limited to student, employee, research and finance data. Institutional data supports CU Boulder’s ...
India's AI framework proposes a layered, lifecycle approach. But how will it work in practice, and what challenges does it ...
In 2025, enterprises are leveraging AI capabilities to enhance data management. Just like 2023, 2024 was a dynamic year for enterprise data management, and 2025 is shaping up to bring even more change ...
Some results have been hidden because they may be inaccessible to you
Show inaccessible results