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

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 ...

This section provides step-by-step guidance for getting started with data governance – how to assess the current situation, establish goals, and create a roadmap tailored to the agency’s needs. There ...

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 ...

Back in 2006, British mathematician Clive Humby stated that data was the new oil. Like oil, data isn’t useful in its raw state and must be refined, processed, and distributed to deliver value. Nearly ...

We now turn to the five necessary steps that organizations must undertake in designing and implementing effective AI governance programs. In our first article (The New Rules of AI: Part 1—Managing ...

Agencies across the government, including in the White House, are planning for, procuring, building, or attempting to scale impact and improve performance through integrating data and using data ...

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 ...