Smart city infrastructure usually involves complex connected assets that require timely maintenance to ensure smooth operations. Eugenie’s advanced predictive analytics can contribute to increasing asset life and reducing asset downtimes.
Operational cost optimization
For managing maintenance of the critical assets of smart cities, continuous estimates of budgetary requirements are crucial. Eugenie’s machine learning based products can detect asset damages at the earliest. Timely alerts of infrastructural damages enable urgent and proactive actions.
Eugenie’s solution can analyze geospatial images to spot and analyze trends of different aspects such as transportation patterns, building damages, parking space usage, construction sites, etc. The insights extracted from the data can help decision makers in planning and execution of the infrastructural development.