There is nothing “soft” about the skills needed to lead employees through change, uncertainty and conflict. Today, successful government leaders must be able to guide people, not just projects.
To develop as a leader, we sometimes need to unlearn habits that served us well in previous positions, but no longer help us to succeed.
Cities exploring AI for municipal field dispatch need clear work definitions, reliable data, approved operating rules, deployment planning and measurable outcomes before AI can improve urgent field-service response.
Technology should support officers, reduce administrative burden and help keep personnel focused on public safety instead of paperwork.
Effective leaders collaborate with colleagues who have good ideas; they don’t take over the process. Learn the consequences of sidelining employees rather than recognizing and including them.
Government leaders face a dual challenge: the rising threat of AI-driven cyberattacks that call for stronger cyber defense, and DoW’s expanding use of AI. To manage AI securely and effectively, agencies should take seven actions.
In today’s AI-enabled environment, alignment alone is no longer enough to sustain consistent outcomes. Synchronization is the next phase.
A complex IT ecosystem helps ensure that AI models correctly interpret government communications and pass along accurate info about updates, alerts and other public matters. Part of that ecosystem is technology that can attribute what data the AI pulls from what source, and when.
When an executive dismisses your work in front of the room, the freeze is real but so is your ability to recover. Read the full article to see how to pivot without losing your footing.
AI is being treated like a tool instead of what it actually is: a capability that should be embedded into how work gets done. The organizations seeing real results aren’t the ones experimenting the most. They’re the ones aligning AI to mission outcomes, operational workflows, and decision-making.