The “AI Air Gap”: Why Governments Are Digitizing Without Integrating
Governments are racing to adopt AI, yet many struggle. In 2026, success will belong to those who invest in trust, interoperability, and shared purpose.
Posts Tagged: data governance
Building an AI-Forward Workforce: How Agencies Can Prepare for the Future of Work
Government agencies continue to face the critical challenge of preparing the workforce to operate effectively in an AI-driven environment.
On the Road to Responsible AI
AI has come a long way in the past few years, and agencies have learned a lot about best practices. The good news is there’s a growing body of guidance.
How to Manage Distributed Data Securely, Effectively
Processing data locally speeds up the time for decision making. Edge data can better support mission context and relevance. But distributed data brings with it new challenges. Here’s how to meet them.
Get Your Data House in Order
Whether you’re planning to use more AI or just want to improve analytics and tighten cybersecurity, good data management must be the foundation for your efforts.
Make Your Data Ready for AI
You can’t apply AI to your data until you’ve taken care of some fundaments of data governance and hygiene. Here are some tips on how to get ready.
Data-Driven Decision-Making Gets Real
To make evidence-based policy, takes more than information–it requires the ability to turn information into knowledge and to base decisions on it.
Pittsburgh Learns How to Govern Its Data
When Pittsburg failed to get certification from Bloomberg Philanthropies’ What Works Cities Certification Program, the city dusted itself off and worked hard to change its entire data mindset. Here’s how they did it.
Get Fired up About Data
Agencies are launching new and innovative data initiatives, but many of their employees are being left behind. Creating a culture of analytics can bring everyone into the fold.
Protecting Your Personal Data
Government agencies have a responsibility to protect our personally identifiable information, but that’s easier said than done. Strong data management and cultural mindsets are important, and there’s a role for automation as well.