Content area

Abstract

Rapid digitization in industries is transforming the way corporations conduct their core businesses and interact with their customers. The proliferation of data in these corporations and the ability to process them using the latest AI/ML techniques are compelling them to transform themselves into data-driven organizations. However, acquiring new talent with data science skills and/or reskilling existing employees with deep domain experience presents a major challenge. In this paper, we illustrate how a unique collaboration between industry and academia to impart AI and machine learning (ML) skills to domain experts contributed to furthering an organization's AI aspirations. Specifically, the collaboration has created a continuous learning environment that is conducive to active experimentation and reflective practice, both of which are essential to gaining actionable business insights. Our methodology can be applied to reskill workforces in the future in transformative new-age technologies while adding value to the organization at the same time.

Details

10000008
Business indexing term
Title
Building AI Talent in Organizations – An Experiential Learning Approach
Author
Samuel, Jayarajan; Nerur, Sridhar; Mahapatra, RadhaKanta; White, Brian 1 

 Ericsson Inc. Plano, TX 75024, USA 
Publication title
Volume
36
Issue
3
Pages
277-286
Number of pages
11
Publication year
2025
Publication date
Summer 2025
Publisher
EDSIG
Place of publication
West Lafayette
Country of publication
United States
ISSN
10553096
e-ISSN
25743872
Source type
Scholarly Journal
Language of publication
English
Document type
Journal Article
ProQuest document ID
3252289617
Document URL
https://www.proquest.com/scholarly-journals/building-ai-talent-organizations-experiential/docview/3252289617/se-2?accountid=208611
Copyright
Copyright EDSIG 2025
Last updated
2025-11-14
Database
2 databases
  • Education Research Index
  • ProQuest One Academic