By integrating advanced monitoring and predictive maintenance solutions, SBS Transit’s engineers and technicians will be empowered with almost real-time data and predictive insights, enabling them to anticipate and resolve potential faults or breakdowns before they occur. Using artificial intelligence (AI) to identify the cause(s) of train or equipment failures also enables them to quickly assign the appropriate staff with the correct tools to address the issue.
SBS Transit is working with IBM to enhance its asset management systems with generative AI technology for its rail operations and maintenance projects.
It will leverage IBM Maximo Application Suite —namely capabilities such as Manage, and work order intelligence which are powered by watsonx— and integrate the solution with its own Intellectual Property assets. Doing so will bring together intelligent asset management, almost real-time monitoring, predictive maintenance, and reliability planning on a single platform for more efficient and robust decision-making in maintenance activities.
