Agenda
Times are subject to change.
Underwriter
Ty Enmark
Area Vice PresidentOracle Government, Defense, and Intelligence (GDI)
As agencies move from early AI pilots to enterprise deployment under new government-wide requirements, leaders face a critical moment in proving that AI can deliver mission value while sustaining public trust. In this keynote, Niki Maslin, Acting CTO and CAIO for the Environmental Protection Agency, will discuss how the EPA is operationalizing federal AI mandates by preparing legacy data and systems and strengthening governance and workforce readiness. The conversation will also address implications for permitting and data center oversight, and metrics guiding responsible, results-driven adoption.
As agencies move from early AI pilots to enterprise deployment under new government-wide requirements, leaders face a critical moment in proving that AI can deliver mission value while sustaining public trust. In this keynote, Niki Maslin, Acting CTO and CAIO for the Environmental Protection Agency, will discuss how the EPA is operationalizing federal AI mandates by preparing legacy data and systems and strengthening governance and workforce readiness. The conversation will also address implications for permitting and data center oversight, and metrics guiding responsible, results-driven adoption.
Niki Maslin
Director, Chief Technology Officer & Chief Artificial Intelligence OfficerEPA
Jessie Bur
Executive EditorNextgov/FCW
Scaling artificial intelligence in government requires more than strong policy direction. Agencies must modernize data environments, ensure secure and agile compute capacity, and create enterprise architectures that can keep pace with the rapid evolution of AI. Establishing this kind of foundation is what enables AI to move beyond small pilots and demonstrations into capabilities that can truly support mission delivery. This panel will bring together AI leaders to explore how infrastructure investments are shaping the future of AI in the public sector. Speakers will discuss approaches to modernizing legacy systems, improving data readiness, and enabling scalable compute environments while balancing innovation, compliance, and transparency.
Scaling artificial intelligence in government requires more than strong policy direction. Agencies must modernize data environments, ensure secure and agile compute capacity, and create enterprise architectures that can keep pace with the rapid evolution of AI. Establishing this kind of foundation is what enables AI to move beyond small pilots and demonstrations into capabilities that can truly support mission delivery. This panel will bring together AI leaders to explore how infrastructure investments are shaping the future of AI in the public sector. Speakers will discuss approaches to modernizing legacy systems, improving data readiness, and enabling scalable compute environments while balancing innovation, compliance, and transparency.
Christopher Alvares
Chief Data OfficerUSDA
Zach Whitman
Chief AI & Data OfficerGSA
Jessie Bur
Executive EditorNextgov/FCW