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Resolving Workforce Skills Gaps with AI-Powered Insights

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Content provided by MIT CISR. All podcast content including episodes, graphics, and podcast descriptions are uploaded and provided directly by MIT CISR 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.
Nick van der Meulen reads MIT CISR's April 2024 research briefing, which he co-authored with Olgerta Tona and Dorothy Leidner. See the text version and related content at https://cisr.mit.edu/publication/2024_0401_DigitalTalentTransformation_VanderMeulenTonaLeidner. Abstract: Ongoing digital transformation requires a workforce that is proficient in a wide variety of new skills. This briefing explores the use of AI in quantifying such proficiency, through a process known as skills inference. We introduce this concept by means of a case study of Johnson & Johnson, showing how skills inference can provide detailed insight into workforce skills gaps and thereby guide employees’ career development and leaders’ strategic workforce planning.
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93 episodes

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Fetch error

Hmmm there seems to be a problem fetching this series right now. Last successful fetch was on August 16, 2025 16:11 (2d ago)

What now? This series will be checked again in the next day. If you believe it should be working, please verify the publisher's feed link below is valid and includes actual episode links. You can contact support to request the feed be immediately fetched.

Manage episode 413223049 series 3409705
Content provided by MIT CISR. All podcast content including episodes, graphics, and podcast descriptions are uploaded and provided directly by MIT CISR 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.
Nick van der Meulen reads MIT CISR's April 2024 research briefing, which he co-authored with Olgerta Tona and Dorothy Leidner. See the text version and related content at https://cisr.mit.edu/publication/2024_0401_DigitalTalentTransformation_VanderMeulenTonaLeidner. Abstract: Ongoing digital transformation requires a workforce that is proficient in a wide variety of new skills. This briefing explores the use of AI in quantifying such proficiency, through a process known as skills inference. We introduce this concept by means of a case study of Johnson & Johnson, showing how skills inference can provide detailed insight into workforce skills gaps and thereby guide employees’ career development and leaders’ strategic workforce planning.
  continue reading

93 episodes

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