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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Why Federal Tech Leaders Are Wearing Many Hats
Combining senior tech roles can streamline decision-making, but experts warn limited time and resources may hinder execution.
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Inside the Army’s FUZE Model for Rapid Tech Deployment
FUZE Director Matthew Willis explains how the Army is using a venture-style investment model to move emerging technologies from prototype to the field faster.
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DOL’s AI-Ready Initiative Gains Early Traction with Nationwide Rollout
A new seven-day AI course from the Labor Department uses mobile learning to boost AI literacy nationwide.
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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.
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