Lloyd’s Register and STC Global to bring AI to HSE management

Lloyds Register AILloyd’s Register, a professional services company specialising in engineering and technology solutions, has partnered with STC Global to use artificial intelligence (AI) to unlock insight from untapped incident data 

Leveraging complementary expertise, the partnership will integrate Natural Language Processing AI and root cause analysis technologies to help HSE professionals to 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 – HSE professionals will gain a comprehensive understanding of the key hazards associated with each incident in real time. Once deployed, HSE professionals will be able to gain deep insight into the where and why of safety issues, ensuring each can be addressed more efficiently and effectively than ever before.

As part of the development of its integrated digital HSE programme for clients, Lloyd’s Register will leverage its leading artificial intelligence solution LR SafetyScanner, 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 apply COMET, one of the most progressive solutions in the field of Incident Investigation and Root Cause Analysis. Both solutions are well established in international marine, food and beverage, and energy sectors.

Lloyd’s Register CTO Nial McCollam stated, “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.”

STC Global managing director Mark Rushton added, “We are very proud to partner with an organisation of Lloyds Register’s stature. Our first joint venture product will deliver a suite of incident prevention solutions which particularly excites us as it sees our COMET platform utilise machine learning for the first time.”

 

 

 

Alain Charles Publishing, University House, 11-13 Lower Grosvenor Place, London, SW1W 0EX, UK
T: +44 20 7834 7676, F: +44 20 7973 0076, W: www.alaincharles.com

twn Are you sure that you want to switch to desktop version?