AI in Logistics, Overcoming Data Challenges and Finding Value - with Priya Rajagopalan of FourKites
Published May 19, 2020
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23 min
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    Logistics is behind the time when it comes to data maturity, and it's nearly impossible to get predictive value from disjointed data. This week, Priya Rajagopalan or FourKites shares critical lessons for finding value in logistics data - as well as AI use-cases already making their way into the supply chain.

    Learn more about Emerj Plus (emerj.com/p1), and discover our complete AI White Paper Library - including our latest PDF brief: "AI and the Future of the Supply Chain - 3 Critical Trends".

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