AI use across the federal government isn't the goal. Mission outcomes are - and that is reshaping how the federal health agencies are approaches technology acquisition and adoption.
In this segment on Fed Gov Today, Kamal Narang, Senior Vice President for Federal Health at GDIT, highlights how agencies and industry are navigating the AI landscape in federal health, and why the technology itself is rarely the hard part.
With a deep understanding of agency pain points, their current systems and data environments, and operational goals, GDIT can match the right technology to achieve real mission impacts and drive efficiencies.
“It is not about leveraging AI for the use for the sake of AI, but it is really thinking about what is the mission outcome that you're trying to achieve.”
Narang emphasized that agencies no longer come to the table asking vaguely for AI solutions. The conversations have matured. Federal government leaders now arrive with clearer problems. They are not just looking for a technology – they need measurable results with real-world ROI to tackle fraud, waste and abuse and claims backlogs. And they need results at speed. This is where proofs-of-concepts are instrumental, creating custom solutions that can prove AI uses cases quickly in their environment with real data.
