Archive Details

Year 2024
Volume/Issue/Review Month Volume 1 | Special Issue | October
Title Empowering the IT Workforce: AI-driven Solutions for Identifying the Skills G ap in the Information Technology (IT) Sector
Authors Leena P. Singh, Anuradha Mishra, Tamanna Mohapatra
Broad area Empowering the IT Workforce: AI-driven Solutions for Identifying the Skills G ap in the Information Technology (IT) Sector
Abstract This research paper investigates the intersection of artificial intelligence (AI) and skill gap identification in the information technology (IT) industry, offering insights into how AI-driven solutions can address the pressing challenges of workforce development. Through a comprehensive analysis of current trends, best practices, and case studies, the study examines the demographic profile of 234 IT professionals in India, confirming the reliability of the research instrument through Cronbach’s alpha values. Factor analysis reveals five distinct factors contributing to skill gap identification, AI challenges, need assessment, innovation, and AI effectiveness, collectively explaining 77.785% of the total variance. Drawing on examples from industry leaders like LinkedIn, IBM, and Adobe, the paper explores AI-driven solutions in recruitment, talent acquisition, training, skill development, and performance management, showcasing their practical applications in enhancing workforce development processes. The study concludes with strategic recommendations for organizations to leverage AI effectively in bridging the skills gap, fostering innovation, and driving digital transformation in the IT industry.
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