Modernizing IT Systems for AI Adoption
Federal agencies are refining their IT infrastructures to support AI as the tech becomes a critical part of how government will deliver services in the future. Officials from National Institutes of Health, U.S. Postal Service and Lumen share how they are building IT environments to better accommodate the demands of AI, while keeping security, scalability and mission priorities front of mind.
They also discuss the role of partnerships and data sharing in unlocking innovation, as well as why AI adoption is not a checkbox exercise, but a long-term evolution in how agencies think about their missions, data and services.
Learn more about:
-
How to prioritize modernization efforts alongside other mission-critical tasks.
-
Why data standardization is key to successful AI integration.
-
How IT officials are aligning security with modernization goals.
-
Josh Finke Sr. Vice President, Public Sector, Lumen -
Pritha Mehra CIO, USPS -
Nick Weber Acting Director of the Office of Scientific Computing Services, NIH CIT
-
Federal AI & Digital Transformation Summit
The 2027 AI Summit brings together federal and industry technology leaders to explore how agencies are moving AI from experimentation to enterprise-wide adoption
Washington, D.C. -
Agencies Need Real-Time Visibility to Keep Pace With AI Risks
Officials say static inventories cannot keep pace with AI and are calling for continuous monitoring and stronger risk management.
3m read -
GSA Reveals PQC Priorities to Secure Identity Management
Following a White House executive order, GSA's PQC priorities tackle digital identity and building access systems from quantum threats.
2m read -
What Battery Recycling Could Tell Us About AI's Role in Experimentation
A Genesis Mission project tests how AI agents can reduce physical experiments and accelerate critical mineral recovery from used batteries.
4m read