There are five cases for the use of artificial intelligence that rail operators can implement to elevate asset performance, writes Johann Schachtner of SAP.
Railway operators have heard the buzz about how artificial intelligence can transform their business, by enriching the customer experience or making significant operational improvements.
Now, as the hype surrounding AI yields to competitive realities, it’s time for them to hold AI to the same standard as they do other technologies, where it must demonstrate its value in real-life, rail-specific use cases. In short, AI better show it can deliver a solid return on investment.
As rail operators learn more about, and gain experience with, business AI, that value proposition is coming into focus. In what types of use cases is business AI likeliest to bring rail companies the most value?
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