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 ...

Board members and senior executives are reassessing data governance and risk management at the enterprise level, citing five ...

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 ...

As regulated industries accelerate AI adoption, Chennareddy's governed, audit-ready architecture spanning North America, ...

As technology and regulations evolve, enterprises need to address data governance throughout pipelines, models, and AI agents ...

Brett Conrad, VP of Public Sector at Box, discussed the shift from AI pilot projects to operational use in government ...

Abstract: The increasing reliance on artificial intelligence (AI) and advanced analytics to gain competitive advantages has elevated the importance of robust data governance frameworks. This article ...

Air Canada's chatbot hallucinated a bereavement policy that resulted in financial liability through a tribunal ruling. Meanwhile, NACD survey reports that while 62% of organization boards now hold ...

Another challenge arises from the pace of modern data environments. Cloud platforms, streaming pipelines and self-service ...

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 ...

South Korea's evolving privacy framework pushes data-use boundaries by operationalizing pseudonymization for AI development.

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 ...