Building an AI-Ready Data Foundation for State and Local Government
AI readiness doesn’t start with a pilot project or a new application. Read on to learn why it starts with your data.
AI readiness doesn’t start with a pilot project or a new application. Read on to learn why it starts with your data.
Four strategies can help agencies prepare their IT teams for the next phase of infrastructure modernization. Technology itself is only part of the story.
Government agencies are under growing pressure to embrace AI. But for organizations managing sensitive data, there’s a catch: how do you take advantage of advanced AI capabilities without sending mission-critical information to the public cloud? That challenge is stopping many promising AI initiatives before they can scale. Concerns about unpredictable cloud costs, data sovereignty requirements,Read… Read more »
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.