S5E1: How Will Machine Learning Enhance Transportation Software?
RoadSigns A Transport Topics Podcast
Trucking decisions have gone to the machines. The promises sound almost magical: supply your shippers with better freight visibility with one click, better manage your driver profiles and increase retention with this easy software, find the operational silver bullet without having to hire a data scientist. In fact, today, an algorithmic solution exists for almost every trucking and logistic problem. And, for those big data set problems not yet covered, there’s capital available. But, Seth Clevenger wonders, how well are the machines learning at scale? Will these technologies really continue to provide today’s trucking and logistics managers with better decision and support solutions for real-world problems tomorrow? Or, are the profitability promises about to fall flat? To get some answers, our host travels to the 2019 McLeod Software User Conference and sits with tech expert and company CEO, Tom McLeod, who helps to put a human explanation to the work of the machines. Listen in, before RoadSigns automatically recommends a different podcast episode. For more information visit: https://roadsigns.ttnews.com/episodes/how-will-machine-learning-enhance-transportation-software/ Follow the RoadSigns: Twitter: @ttroadsigns LinkedIn: RoadSignspocast Instragram: @roadsignspodcast Learn more about your ad choices. Visit podcastchoices.com/adchoices