Services company Lloyd’s Register has partnered with STC Global to use artificial intelligence (AI) to unlock insight from the vast amounts of incident data captured by HSE functions but left untapped. The partnership plans to build a tool using natural language processing AI and root-cause analysis to provide HSE professionals in the oil and gas sector real-time hazard insight.
The outputs from the partnership will help HSE professionals better identify and understand the underlying causes of HSE trends, patterns, systemic problems, and latent dangers. By developing a tool that provides a holistic, end-to-end view of incidents—past, present, and potential—Lloyd’s and STC say they hope to give HSE professionals a comprehensive understanding of the key hazards associated with each incident in real time.
“Together, Lloyd’s Register and STC Global will raise the game of HSE management and AI technologies and bring about a step change in the improvement of workplace safety,” said Nial McCollam, Lloyd’s chief technology officer.
As part of the development of its digital HSE program, Lloyd’s Register will use its LR SafetyScanner AI program built to ingest large amounts of data and then cluster them to provide HSE professionals with actionable insights across 24 hazard categories. Similarly, STC Global will use its COMET program for incident investigation and root-cause analysis.
“Our first joint venture product will deliver a suite of incident-prevention solutions, which particularly excites us as it sees our COMET platform utilize machine learning for the first time,” said Mark Rushton, STC Global’s managing director.
Lloyd’s and STC say the benefits of combining the two technologies include the ability to capture recurring systemic root causes and commonly occurring root-cause clusters and map hazard hot spots and emerging trends to focus improvement strategies and prevent incidents.