Leveraging Machine Learning in Predictive Safety Analytics: Insights from Case Studies and Expert Interviews Across Multiple Industries

This research explores the implementation and impact of machine learning in predictive safety analyticsacross multiple industries, focusing on manufacturing, construction, and transportation. Throughqualitative research, including three real-world case studies and expert interviews, the study examineshow machine learning enables proactive risk management, enhances worker safety through fatiguemonitoring, and improves decision-making. The analysis highlights the importance of data integration,predictive maintenance, and collaboration between departments while addressing challenges such asdata quality and resistance to monitoring. The findings provide valuable insights into the evolving roleof machine learning in creating safer, more efficient work environments.