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 ...

Dataiku’s field chief data officer for Asia-Pacific and Japan discusses how implementing AI governance can accelerate ...

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 ...

School districts collect vast amounts and varieties of data, from student performance and attendance to staff information and operational systems. Ideally, this data can enable informed ...

In 2026, data governance has stopped tiptoeing around the edges of organizational strategy and stepped directly into the ...

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 ...

Many companies are choosing to build their own AI systems, rather than buy. Financial services firm Kapitus shares lessons learned.

For more than a decade, UNC Health has been engaged in a concerted effort to get its arms around its troves of clinical, financial and operational data, and harness it toward higher-quality and more ...

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 ...

The BFSI industry is a highly regulated sector wherein companies need strong data controls to comply with stringent standards ...