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

If you’re reading this, there’s a very good chance your organization’s approach to data governance is the exact opposite of what it should be for the AI era. If you’ve read my prior articles, you know ...

Data governance must ensure users can trust data enough to move faster, make smarter decisions and build better products, ...

Data is one of organizations' most potent assets in an era of growing competition and artificial intelligence (AI) mandates. However, effectively managing and using it requires balancing strict ...

The Texas Department of Information Resources (DIR) Governing Board has advanced and adopted multiple rule changes expected to shape how agencies approach digital accessibility, data governance ...

One DOT contracted for collection of video and LiDAR data for the state highway system, with extracted information on asset types and locations. Following contract execution and initiation of data ...

Effective data governance requires a mindset that treats data as an asset, which is just as important as a physical “sticks and bricks” asset with a life cycle. The drivers behind this change include ...

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 enterprises rush to bring AI into business processes, data analytics is near the top of most of their wish lists. Injecting AI into data analytics promises benefits that range from improved cost ...