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Fleet owners and owner-operators are often justifiably wary when hearing about the next ‘Big Thing’ coming to trucking. But while driverless trucks remain a long ways off, artificial intelligence could have a place in your business in the next few years.
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Just like the evolution of VMRS codes helped make vehicle repair more efficient, so too will the next wave of evolution — artificial intelligence and machine learning.
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With its ability to learn, artificial intelligence might just be the tool that more accurately predicts a pending problem — and does so in enough time for the fleet to take meaningful action.
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Bill Bliem believes he’s on the cusp of the holy grail of truck fleet equipment managers: true predictive maintenance. Deborah Lockridge has more on NFI's project in her All That's Trucking blog.
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Hub Group says it’s using artificial intelligence and machine learning to leverage data from its GPS-equipped container fleet to give customers end-to-end visibility, with real-time, dynamic, shipment-level ETAs.
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KoirReader has announced an artificial intelligence driven document automation for the logistics industry that takes relevant information from a document and structures it for use in enterprise managment systems.
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By harnessing the power of artificial intelligence and better algorithms, XPO logistics plans to optimize its less-than-truckload business.
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Cargofy has created an artificial intelligence virtual assistant for its freight-matching service that the company described as a “Siri for truck drivers.”
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Denso Corporation has launched a satellite research and development team in Israel, aimed at accelerating advanced technologies such as automated driving, cybersecurity and artificial intelligence.
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What do terms such as deep learning, machine learning, and artificial intelligence mean for trucking? Deborah Lockridge explores that question in her All That's Trucking blog.
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