Beyond the Hype: Turning AI Potential Into Reality
In this video interview, Granicus’ Karthik Anbalagan discusses how to turn AI potential into reality for both residents and employees.
In this video interview, Granicus’ Karthik Anbalagan discusses how to turn AI potential into reality for both residents and employees.
If agencies want to make responsible decisions about where AI should be used, they need to measure its net value — because “hours saved” can be misleading.
Artificial intelligence is evolving. For years, organizations have used AI for IT Operations (AIOps) to help monitor systems, identify issues and recommend solutions. Now, a new approach is emerging: agentic AI, which moves beyond analysis and into action, helping organizations not only understand problems, but also resolve them. From Insight to Action AIOps was designedRead… Read more »
In this video interview, Elastic’s John Harmon discusses how an agentic SOC can help agencies improve cyber resilience.
What if AI can be a beneficiary as well as a benefit? This article imagines what it might look like to manage AI agents as (Non-)Human Resources.
Trust is essential to effective government, but it’s not managed the way finance, cybersecurity, or operations are. Maybe it should be.
Government agencies don’t escape legacy IT with massive transformations. The path out of the “messy middle” is deliberate, incremental and continuous.
Without information readiness, modernization becomes a collection of disconnected technology projects. Learn what that kind of readiness involves and where it applies.
Artificial intelligence is changing how government work is performed faster than traditional workforce systems can adapt. Federal leaders must shift to developing dynamic competency architectures that prepare employees.
A rushed AI “analysis” exposes a gap in data literacy and human judgment. Read what leaders can do that goes beyond simply learning how to use AI tools.