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As we’ve discussed many times on this show, fleet assets like locomotives, aircraft, and maritime vessels generate massive volumes of data thanks to their copious digital components. Collecting this data allows fleet owners to solve a wide range of problems, from seeking out efficiency gains to improving asset maintenance and monitoring cyber intrusions. Data scientists use myriad techniques to solve these problems, many of which include elements of Artificial Intelligence or “AI,” a field of study which seeks to enable computers to mimic some of the perception, learning, problem-solving and decision making of the human mind. In this episode, special guests Walter Tackett, Dan Morton, Matt Rogers, and Ellie Daw discuss what AI is (and is not), what kinds of fleet inference problems it can help solve, and exciting new trends in this field.

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