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Millions of people’s everyday lives are impacted by the large industry of rail transportation. Without limiting the movement of people or commodities, the railway is the best form of transportation for combating the climate catastrophe.
Passengers must be kept moving, and safety and dependability can only be maintained by meticulously maintaining the track infrastructure.
Current maintenance practices include routine surface inspections by the crew of the rail operator and sporadic, exact monitoring with expensive measurement trucks.
AI has the ability to understand the travel patterns of rail passengers and utilise that learning to match the availability of trains on the network to customer demand.
If accomplished, this will enable a demand-responsive railway that efficiently and dynamically responds to user demand in real-time.
The Mexico Railway AI Market accounted for $XX Billion in 2023 and is anticipated to reach $XX Billion by 2030, registering a CAGR of XX% from 2024 to 2030.
A cloud-based operational testing system from Bellevue, Washington-based CloudMoyo (CM), a creator of artificial intelligence (AI) technologies for railroad operations, revenue and asset management, safety, crew scheduling, and maintenance, has been successfully deployed and rolled out worldwide by Kansas City Southern.
All KCS Rail subsidiary locations in Mexico and the US now use the CloudMoyo Operational Testing System (OTS). In order to intelligently create configurable master test plans for confirming safe operating procedures and compliance with applicable Federal Railroad Administration [FRA] regulations as well as laws and regulations of Mexico, the next-generation, cloud-based OTS solution leverages the scale of the Microsoft Azure Cloud platform and harnesses the power of advanced analytics, using AI and machine learning technologies.