State and local governments are embracing data modeling and governance strategies to advance efficiency, sharpen decision-making, and elevate their service delivery. In so doing, they’re helping ...

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

More than any other factor, the hyperabundance of accessible data has powered today’s surge in AI adoption and generative AI capability. Collecting, cleaning, organizing, and securing that data for AI ...

Real-time insights and self-service analytics have become critical for survival in a rapidly evolving data landscape.

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

David Littler from enChoice UK discusses the AI governance in the public sector, focusing on bridging the gap between its ...

A strong data governance foundation is essential for higher education institutions to deploy trustworthy, effective ...

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 ...

For financial institutions, threat modeling must shift away from diagrams focused purely on code to a life cycle view ...

In today’s rapidly evolving digital landscape, the value of data cannot be overstated. Data has become the lifeblood of innovation, driving decisions, shaping industries, and transforming how we live ...

It’s a time when large datasets are being leveraged for real-time analysis. Tried-and-true approaches to cobbling together technologies and policies to achieve workable data governance and security ...