Case Study

Graph Machine Learning Recommender POC for Public Safety Agency

Graph Machine Learning Recommender POC for Public Safety Agency

Graph Machine Learning Recommender POC for Public Safety Agency

A public safety government agency aimed to develop a proof-of-concept content recommender using semantic technologies to better support workplace safety planning and enforcement. The challenge involved integrating siloed, unstructured data sources to create a unified view of safety risks, regulations, and relevant guidance. Without this integration, teams spent significant time manually searching for information, limiting efficiency and awareness. The agency needed a solution that could automatically connect and surface critical insights in one place, enabling faster access to knowledge, reducing manual effort, and improving risk identification, project planning, and decision-making in safety management.

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