Federal agencies are under pressure to deliver faster services, strengthen compliance, and maximize mission impact — all while facing tighter budgets and rising oversight. Yet most AI projects remain siloed pilots that struggle to scale. To move beyond isolated use cases, agencies need a secure, unified approach that combines predictive, generative, and agentic AI.
What you’ll learn:
- Why predictive, generative, and agentic AI are most powerful when working together
- How agentic AI enables autonomous, multi-step workflows with oversight and control
- Federal use cases that show the value of unifying AI approaches, from citizen services to mission planning
- The path forward for agencies seeking to move from AI experiments to measurable mission impact
Step into the future of federal AI — download the guide now.
DataRobot is an indispensable partner helping us maintain our reputation both internally and externally by deploying, monitoring, and governing generative AI responsibly and effectively.Tom ThomasVice President of Data & Analytics, FordDirect
The generative AI space is changing quickly, and the flexibility, safety and security of DataRobot helps us stay on the cutting edge with a HIPAA-compliant environment we trust to uphold critical health data protection standards. We’re harnessing innovation for real-world applications, giving us the ability to transform patient care and improve operations and efficiency with confidence
Rosalia TungarazaPh.D, AVP, Artificial Intelligence, Baptist Health
DataRobot provides us with innovative ways to test new ideas. Given a problem and a dataset, DataRobot allows us to generate multiple prototypes 20% faster. And the process facilitates the learning evolution of our data scientists.
Diego J. BodasDirector of Advanced Analytics, MAPFRE ESPAÑA
The value of having a single platform that pulls all the components together can’t be underestimated. Then there’s the combination of the technology and the collaborative DataRobot team. If either one of those wasn’t there, I would have looked elsewhere.Craig CivilDirector of Data Science & AI