Resolving Workforce Skills Gaps with AI-Powered Insights

MIT CISR

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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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