Home Blog Risk Analysis in the ...

Risk Analysis in the Industrial World

Michele Compare

AI is revolutionizing risk detection and prediction in the industrial world. 

These increasingly sophisticated methodologies combine advanced data analysis with expert opinion to promptly identify risk situations and make informed decisions.

Aramix develops dedicated services and solutions, relying on the most relevant factors for each industry and specific case, mainly including:

  • Real-time data monitoring from sensors in industrial processes. Our AI models constantly analyze data to identify anomalies and promptly detect potential risks. This allows companies to intervene promptly before problems turn into critical situations;
  • Historical Data Analysis: using advanced Data Science algorithms, Aramix analyzes historical data to identify hidden trends and patterns. This allows companies to identify the causes of past risk events and take preventive measures to avoid them in the future;
  • Analysis of Exogenous Conditions: Aramix develops predictive models on the operating parameters of the plants also considering exogenous data, as well. These models allow companies to anticipate unfavorable situations that could influence their industrial processes.

Risk Management: our success story for street lighting 

A leading player in the world of energy, which manages street lighting in the main cities of the world, wanted to optimize the maintenance of street lights.

We developed a solution that integrated open data with city lighting data, proprietary databases relating to lamp malfunctions and failures, as well as expert opinions and supporting scientific literature.

As the main output, our client obtained a decision support system (DSS) in the form of a customizable and queryable interface: by entering geographical areas and lighting-related parameters, the AI-based algorithm identifies the microzones where the risk of light asset’s failure is higher and, therefore, which ones should be replaced first. The analysis takes into account the reliability of the asset and the consequences of the lack of light in a specific area.

This system helps decision makers make informed decisions to prevent failures, with a significant reduction in waste in terms of costs, time and human resources, as well as a competitive advantage in public tenders.