Economies and quality of life are influenced by a well-behaved transportation system. The scale of ingested data in the transportation system, and even the interaction of various components that generates the data have become a bottleneck for the traditional analytics solutions.

Miner & Kasch experience and data-driven solutions have enhanced new forms of modeling by learning the latent patterns of historical data, while responding accordingly to automate the analytical tools that are both business and technically sound.

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