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Artificial intelligence and big data for facility management: main use cases and applications

The Facility Management (FM) industry has undergone a significant transformation in recent years due to the rapid advancement in technology. The use of Artificial Intelligence (AI) and Data Analytics has become increasingly popular in the FM industry. These technologies have proven to be efficient and effective in improving facility management operations. In this article, we will explore the various use cases of AI and Data Analytics in the Facility Management industry.


Predictive Maintenance

One of the primary applications of AI and Data Analytics in the FM industry is predictive maintenance. Predictive maintenance uses AI algorithms to analyze data from various sources such as sensors, meters, and building management systems to identify and predict potential issues before they occur. This helps facility managers to reduce downtime, avoid costly repairs, and improve the overall maintenance process.


Energy Management

Energy consumption optimization facility management
AI can help reduce energy consumption

AI and Data Analytics can help facility managers to optimize energy usage, reduce energy costs, and improve the sustainability of their facilities. By analyzing energy consumption data, AI algorithms can identify areas where energy can be saved, optimize energy usage, and predict future energy usage patterns.


Space Management

AI and Data Analytics can be used to optimize space management in facilities. By analyzing space usage data, AI algorithms can help facility managers to identify underutilized spaces and allocate them efficiently. This can help to reduce real estate costs and improve the overall space utilization efficiency.


Security Management

AI and Data Analytics can help facility managers to improve security management in their facilities. By analyzing security data from various sources such as cameras, access control systems, and sensors, AI algorithms can detect potential security threats, identify anomalies, and trigger alerts to security personnel.


Cleaning Management

AI and Data Analytics can help facility managers to optimize cleaning operations in their facilities. By analyzing cleaning data from various sources such as sensors and feedback systems, AI algorithms can identify areas that require more attention, optimize cleaning schedules, and improve the overall cleanliness of the facility.


Tenant Experience

AI and Data Analytics can help facility managers to improve the overall tenant experience in their facilities. By analyzing tenant feedback data, AI algorithms can identify areas where tenants are dissatisfied, and provide insights that can help to improve the overall tenant experience.


In conclusion, the use of AI and Data Analytics has become increasingly popular in the Facility Management industry. These technologies have proven to be efficient and effective in improving facility management operations. The applications of AI and Data Analytics in the FM industry are diverse, and the potential for these technologies to transform the industry is immense. Facility managers who embrace AI and Data Analytics will be able to improve the efficiency and effectiveness of their operations and provide better service to their customers.


Basedig provides customized artificial intelligence and big data solutions, including for the facility management industry. For example, Basedig developed a platform for the management of connected devices (IOT) and air quality monitoring.


Do not hesitate to contact us for further information.




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