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.
“Our combined solution employs AI and generative AI technologies, which uniquely empowers us to use our data smartly, to drive higher rail reliability and efficiency that will serve our passengers well. We also look forward to extending this solution to rail projects overseas that are under our parent company, ComfortDelGro , and in so doing, further promote Singapore’s world-class public transportation system,” says Jeffrey Sim, group CEO of SBS Transit.
Tan Siew San, general manager and technology leader at IBM Singapore, adds: “Transport operators increasingly need AI and analytics to efficiently monitor, manage and maintain their assets to provide the best passenger experience. In order to enhance this experience and make public transportation more efficient and convenient for commuters, the industry needs to proactively anticipate problems and increase diagnostic accuracy. We are committed to helping more organisations like SBS Transit to build operational efficiencies with trusted and responsible AI to meet their business outcomes.”
