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Mr. Adarsh Kumar Ippili is a Senior Analyst at Capgemini Technology Services India Limited, Mumbai, Maharashtra, India. His professional expertise includes data analytics, AI applications, cloud technologies, and enterprise-level intelligent systems.
The chapter examines machine learning methodologies, including classification, clustering, natural language processing, and recommendation systems, for aligning individual competencies with industry norms. It emphasises the significance of big data frameworks in processing varied and substantial datasets to produce real-time insights. A comprehensive framework for identifying skill gaps and recommending training is proposed, highlighting automation, scalability, and personalisation. Additionally, difficulties of data privacy, bias, model interpretability, and organisational adoption are thoroughly examined. Emerging developments, including AI-driven career pathing, adaptive learning systems, and predictive workforce analytics, are also examined. Organisations and educational institutions may utilise AI and big data to augment talent development, enhance productivity, and synchronise staff competencies with changing market demands.