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Content provided by Carnegie Mellon University Software Engineering Institute and SEI Members of Technical Staff. All podcast content including episodes, graphics, and podcast descriptions are uploaded and provided directly by Carnegie Mellon University Software Engineering Institute and SEI Members of Technical Staff or their podcast platform partner. If you believe someone is using your copyrighted work without your permission, you can follow the process outlined here https://podcastplayer.com/legal.
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Identifying AI Talent for the DoD Workforce

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Manage episode 495144369 series 1264075
Content provided by Carnegie Mellon University Software Engineering Institute and SEI Members of Technical Staff. All podcast content including episodes, graphics, and podcast descriptions are uploaded and provided directly by Carnegie Mellon University Software Engineering Institute and SEI Members of Technical Staff or their podcast platform partner. If you believe someone is using your copyrighted work without your permission, you can follow the process outlined here https://podcastplayer.com/legal.

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.

  continue reading

170 episodes

Artwork
iconShare
 
Manage episode 495144369 series 1264075
Content provided by Carnegie Mellon University Software Engineering Institute and SEI Members of Technical Staff. All podcast content including episodes, graphics, and podcast descriptions are uploaded and provided directly by Carnegie Mellon University Software Engineering Institute and SEI Members of Technical Staff or their podcast platform partner. If you believe someone is using your copyrighted work without your permission, you can follow the process outlined here https://podcastplayer.com/legal.

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.

  continue reading

170 episodes

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