Take the Risk out of AI-Driven Modernization
In this video interview, Four Inc.’s Russ Hopler explains how agencies can build the foundation needed to scale AI with confidence.
In this video interview, Four Inc.’s Russ Hopler explains how agencies can build the foundation needed to scale AI with confidence.
Government organizations are racing to adopt artificial intelligence, but successful AI requires more than sophisticated technology.
Compliance is often blamed for slowing the IT modernization efforts of federal healthcare agencies. But more often, architectural limitations are holding agencies back.
An AI system answering a question may need information across many government sources. Let’s explore why this can present challenges.
Let’s explore how agencies can develop the learning capacity needed to keep pace with accelerating AI change.
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.