Resolving Workforce Skills Gaps with AI-Powered Insights
Name
2024_0401_DigitalTalentTransformation_VanderMeulenTonaLeidner.pdf
Size
447.31 KB
Format
Adobe PDF
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Author(s)
van der Meulen, Nick
Tona, Olgerta
Leidner, Dorothy E.
Date Issued
April 18, 2024
Publisher
Cambridge, Mass.: Center for Information Systems Research, Sloan School of Management, Massachusetts Institute of Technology
Citation
Van der Meulen, Nick, Olgerta Tona, and Dorothy E. Leidner. “Resolving Workforce Skills Gaps with AI-Powered Insights.” MIT CISR Research Briefing Volume XXIV, no. 4 (April 2024). https://dspace.mit.edu/handle/1721.1/174844.
Series/Report no.
MIT CISR Research Briefing, Vol. XXIV, No. 4
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.
Subjects
Information Technologies
Data, AI, and Analytics
Organizational Structure and Agility
Employee Experience
Talent
Terms of Use
CC BY-NC 4.0 (Attribution-NonCommercial 4.0 International)
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