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Case Study

A telco in their network rollout (construction) phase is looking to analyse complaints received by members of the public to determine if there are possible health and safety issues associated with the complaint.


The use of Machine Learning models for Sentiment Analysis enables complaints to be categorised based on their potential for a health and safety issue or hazard. These may include physical equipment location, work site safety issues, chemical storage, noise pollution etc. Based on this categorisation, robotics are then deployed to action the assignment and/or action the management of the incident or hazard with the appropriate Health & Safety manager and location.

Case Studies

Discover how we've helped other companies simplify their automation journey

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Financial Services