Equipping the Federal Workforce for AI
Effective AI talent management is central to ensuring the federal workforce can responsibly develop, deploy and govern emerging technologies. Leaders from the National Institutes of Health, Department of Education and Maximus discuss strategies for upskilling employees, leveraging partnerships and building trust in AI adoption.
Learn more about:
- How agencies are aligning workforce development with new federal AI directives. Timestamp: 1:05.
- NIH’s approach to employee upskilling, generative AI adoption and governance. Timestamp: 12:02.
- Overcoming workforce fears and fostering a culture of responsible AI experimentation. Timestamp: 18:12.
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Kathleen Featheringham VP, AI, Maximus -
Mahua Mitra Chief of Enterprise Platform Services, CIT, NIH -
Davon Tyler Acting CTO and CISO, Office of Federal Student Aid, Education
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HHS Identifies Three Priorities for Clinical AI Adoption
Officials outlined efforts for implementation support, coordination and evaluation standards with new AI regulatory proposals expected soon.
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TMF's Rapid Funding Model Helps Agencies Escape Budget Gridlock
With compressed timelines and an 80% project success rate, the TMF helps agencies modernize systems before risks and vulnerabilities escalate.
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DOT Pushes Toward Passwordless Future as Zero-Trust Matures
Enterprise Security Architect Austin Clark says zero-trust adoption is accelerating as users embrace faster, more secure authentication experiences.
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Building the Foundation for AI
FBI and NIH explore how data modernization and cybersecurity are shaping federal artificial intelligence adoption.
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