Predicting the future isn’t easy, but data science can provide incredible insights. American Airlines uses machine learning and Quadro-Powered Data Science Workstations to run models that assess how likely it is that a cargo shipment will arrive, which allows them to better plan shipments ahead of time.

• How American Airlines uses machine learning and Quadro-powered data science workstations to run models that assess how likely it is that a cargo shipment will arrive, reducing fuel costs by millions of dollars and drastically reducing airline emissions.

• How the American Airlines team built the predictive model using H2O4GPU, an open source, GPU-accelerated machine learning package.

• Why the team went with Z by HP Quadro-powered data science workstations for their machine learning use cases.

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