Identifying AI Talent for the DoD Workforce
• Webcast
Publisher
Software Engineering Institute
Topic or Tag
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Abstract
Finding and growing AI and Data talent is essential for mission success, but many skilled workers remain unseen because they lack traditional credentials. This session introduces practical strategies and prototype tools that help individuals demonstrate what they know while helping managers identify and evaluate emerging talent in these fields. Attendees will explore micro-assessments reflecting real data science and AI workflows, see how skills can be measured meaningfully at scale, and gain insights on fostering AI and Data readiness across the federal workforce. Whether you’re building your career or building your team, come learn how to connect talent with opportunity in the evolving AI landscape.
What Attendees Will Learn:
- Common barriers to finding and recognizing hidden AI and Data talent.
- The role of a practical work role rubric in aligning skills with mission needs.
- How prototype assessments and discovery tools can help surface and showcase talent.
About the Speaker
Eric Keylor
Dr. Eric Keylor is an artificial intelligence (AI) workforce development engineer in the AI Division at the Carnegie Mellon University Software Engineering Institute. A learning and data scientist, Keylor is interested in state-of-the-art learning science and instructional design, assessment and psychometrics, and the application of AI to learning and training.
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Intae Nam
Intae Nam is an AI Workforce Development Engineer with the AI Division of Carnegie Mellon University's Software Engineering Institute. Before joining the SEI, Nam served as a cyber warfare operator with the prestigious 367th Cyberspace Operations Squadron (367 COS) at Joint Base San Antonio (JBSA) - Lackland, where he executed …
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Dominic A. Ross
Dominic Ross is the broadcast media team lead at the SEI, where his work focuses on multimedia research and transformative gamification. In that role, he designs and engineers production studios and systems used to acquire training, conferences, webinars, and broadcast video used by the federal cybersecurity workforce, Carnegie Mellon University, …
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