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Innehåll tillhandahållet av Carnegie Mellon University Software Engineering Institute and SEI Members of Technical Staff. Allt poddinnehåll inklusive avsnitt, grafik och podcastbeskrivningar laddas upp och tillhandahålls direkt av Carnegie Mellon University Software Engineering Institute and SEI Members of Technical Staff eller deras podcastplattformspartner. Om du tror att någon använder ditt upphovsrättsskyddade verk utan din tillåtelse kan du följa processen som beskrivs här https://sv.player.fm/legal.
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Identifying AI Talent for the DoD Workforce

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Manage episode 495144369 series 1264075
Innehåll tillhandahållet av Carnegie Mellon University Software Engineering Institute and SEI Members of Technical Staff. Allt poddinnehåll inklusive avsnitt, grafik och podcastbeskrivningar laddas upp och tillhandahålls direkt av Carnegie Mellon University Software Engineering Institute and SEI Members of Technical Staff eller deras podcastplattformspartner. Om du tror att någon använder ditt upphovsrättsskyddade verk utan din tillåtelse kan du följa processen som beskrivs här https://sv.player.fm/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

174 episoder

Artwork
iconDela
 
Manage episode 495144369 series 1264075
Innehåll tillhandahållet av Carnegie Mellon University Software Engineering Institute and SEI Members of Technical Staff. Allt poddinnehåll inklusive avsnitt, grafik och podcastbeskrivningar laddas upp och tillhandahålls direkt av Carnegie Mellon University Software Engineering Institute and SEI Members of Technical Staff eller deras podcastplattformspartner. Om du tror att någon använder ditt upphovsrättsskyddade verk utan din tillåtelse kan du följa processen som beskrivs här https://sv.player.fm/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

174 episoder

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