The machine learning algorithms that are being created to solve important business problems for fleets use data to answer complex problems ranging from fraud to fuel spend benchmarking and optimization WEX Inc39s Kurt Thearling says

The machine learning algorithms that are being created to solve important business problems for fleets use data to answer complex problems ranging from fraud to fuel spend benchmarking and optimization, WEX Inc.'s Kurt Thearling says.

Q&A: Cleaning up trucking's data garbage

The old computer adage garbage in, garbage out (GIGO) is becoming true in the industry as trucking begins to rely heavily on "machine learning algorithms for everything from managing fuel spend to lifecycle costs. Fleets that don't understand GIGO will not see the efficiencies promised from technologies, and that is because the data inputs are not always "clean", says Kurt Thearling, vice president of analytics for WEX Inc.

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