3 practical business cases in asset and maintenance management
Owning, managing, maintaining or building large commercial real estate demands consistency between reality and planning.
Asset management in professional real estate currently requires a huge amount of human resources, systems, planning and services.
At construction sites approximately one third of the time is spent on transports, rearrangements, downtimes and the search for materials. Around 90% of megaprojects are significantly delayed, over budget or display other deviations from planning. All of these factors cause unnecessary costs for the companies involved in the construction process.
Artificial intelligence is expected to increase efficiency throughout the entire value chain – from the production of building materials to the design, planning and construction phase itself, and facility management as well.
BrainMatter automates the inspection of any visual or visualizable asset via images, video, underground radar, point cloud, lidar, and/or heatmap. It automatically recognizes and classifies deviations from plans and regulations, errors and other changes, triggering an immediate action based on business rules.
BrainMatter monitors system performance in real-time is continuously optimized through guided machine learning and can be connected to asset management systems such as IBM Maximo.
BrainMatter can be used to compare the physical world to a digital twin enabling automated identification of errors and deviations from the original construction plan.
As one of the world’s leading digital airports, Schiphol is looking to increase its level of customer satisfaction through process optimization. Schiphol presented us with the following goals:
Anything that can be perceived and interpreted is applicable for intelligent automation.