Today will be an interesting one as we speak to Claus Rose, but before that, lets take a listen to his presentation about -This case study discusses GE Renewable Energy’s journey in developing MATE, the award-winning machine learning and AI tool designed to store and validate environmental, health and safety data.
This tool, which has a 92 per cent accuracy rate, was developed in collaboration with multiple technology companies. The goal was to validate their EHS data with a tool that required zero human interface.
At the end of the episode we sit with Mr. Rose to further the discussion on Safety FM with Jay Allen.
