Big Data: Remember Me?
Given the amount of data that we now generate, the term “Big Data” seems to be an insufficient description, especially since AI needs so much of it.
Have You Been Overlooking Your Own Leadership?
We often underestimate the leadership we practice every day. Real leadership shows up through influence, initiative, and developing others.
The AI Risk Gap: Why Technology Adoption Is Outpacing Decision Readiness
Agencies are confronting an AI risk gap between technological capability and institutional decision readiness. Closing the gap enables responsible innovation.
Governance Before Algorithms: What the ARMA 2026 InfoGov Summit Taught Us About AI’s Future in Government
Approaching AI with governance as the starting point, not an afterthought, will reduce risk, increase transparency and improve service delivery.
How to Thank Staff at Major Office Events
It is important to thank staff publicly, including at major office events, but leaders often fail to appreciate staff in such an obvious way. This article explores the problem.
Prioritizing Local Government Communications in a New Funding Landscape
Local government communications are more important than ever — keeping communities informed, engaged, and confident in their leaders.
Operational Excellence in Government: Moving From Program Success to System Reliability
Modernization initiatives often suceed yet struggle with enterprise reliability. A reliability focus converts episodic innovation into sustained performance.
Thanking Staff: Tips for Appreciating Employees
Thanking staff is a simple yet critical way to improve morale and boost productivity. Here are tips on appreciating employees, even when time and budget are tight.
The Oversight Paradox: How Expanding Compliance Is Driving Governance Innovation
As compliance mandates expand, public-sector leaders must resolve a paradox: that compliance maturity outpaces governance effectiveness.
Do You Know What Makes a Good Question?
Writing questions is more difficult than you may think. They carry context, tone (if spoken), assumptions, and bias — but they’re also a critical way of gathering feedback. Let’s discuss several ways that questions make assumptions and how to avoid those suppositions when asking for input.