This white paper looks at the use of data, data science, and artificial intelligence (AI) in Environment, Health and Safety (EHS) applications and how its deployment can reduce the risk of serious injuries and fatalities (SIFs). Exploring key use cases – computer vision, natural language processing, predictive and prescriptive analytics engines – we cover the streamlined, augmented, and fully-automated workflows enabled by AI-powered data analytics. We explore how small organizations may benefit from open-source or pay-as-you-go pre-built, modular, and flexible tools, while large enterprises may proceed with lengthy and costly customized data collection, model training, and worldwide deployment with greater capability and effectiveness within EHS. Advances in data analytics, artificial intelligence, machine learning, and user-friendly graphical user interfaces can provide powerful insights to safety management personnel from any device, on-site or remote, through cloud computing.
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