Publication Details
Issue: Vol 3, No 2 (2024)
Pages: 14-25
ISSN: 2833-7468

Abstract

This paper explores the integration of predictive analytics into strategic workforce planning, highlighting the transformative impact of artificial intelligence (AI) and machine learning advancements. With a focus on the energy and telecommunications sectors, the study examines the incorporation of predictive models into HR systems and processes, underlining the strategic benefits for long-term business planning. The evolving nature of work, including remote work paradigms and the gig economy, underscores the necessity for adaptable workforce strategies. The research anticipates a significant role for predictive analytics in shaping future organizational competencies and competitive advantages across various industries. The study concludes with the potential for cross-industry application of predictive analytics, suggesting an expansive future for data-driven strategic planning in navigating the complexities of the modern workforce.

Keywords
predictive analytics strategic workforce planning artificial intelligence machine learning HR technology integration long-term business strategy cross-industry applications workforce trends organizational agility