AI Foundations Driving Government Efficiency
With the new administration prioritizing cost reduction and workforce augmentation, IT leaders are rethinking how they implement and scale AI to support mission outcomes efficiently and responsibly.
Top AI officials discuss how agencies are modernizing legacy systems, addressing data quality and shifting risk tolerance to unlock the potential of AI. Panelists will share real-world examples of successful AI integration, offer insight into data standards for improved AI outcomes and explore how agencies are balancing innovation with public trust.
Learn more about:
- How infrastructure modernization and open standards are enabling scalable, cost-effective AI.
- The ways agencies are approaching responsible AI implementation, risk management and public communication.
- Real examples of AI driving mission impact and what’s coming next.
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Ben Cushing Chief Architect, Health and Life Sciences, Red Hat -
Jessie Posilkin Acting Executive Director, TMF, GSA -
Gretchen Stewart Chief Data Scientist, Public Sector, Intel -
Alastair Thomson Director of Data Innovation and Acting CDO, ARPA-H -
Sarah Sybert Managing Editor, GovCIO Media & Research
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White House AI Framework Prioritizes Innovation, Calls for Fewer Barriers
The framework focuses on accelerating innovation through regulatory sandboxes, open data and streamlined federal policy.
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Federal Agencies Push AI‑Enabled Zero Trust to Outpace Adversaries
Officials warn that cultural resistance is among the biggest barriers to modernizing security architectures across government.
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Building the Military Health System’s AI Ecosystem
DHA and Red Hat discuss building a secure AI ecosystem, strengthening data foundations and ensuring safe AI use in military health care.
10m watch -
Geopolitical Tensions Highlight Need for Resilient AI Supply Chains
The U.S. is working with global partners to strengthen AI supply chains and ensure continuity amid growing geopolitical risks.
3m read