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Data Science for Business and Industry

To Deploy Machine Learning, You Must Manage Operational Change—Here Is How UPS Got It Right

by Eric Siegel

Deployment as a Critical Business Data Science Discipline

by Thomas Davenport and Katie Malone

Why Tennis Is Still Not Ready to Play Moneyball

by Stephanie Kovalchik

How to Define and Execute Your Data and AI Strategy

by Ulla Kruhse-Lehtonen and Dirk Hofmann

Toward Foundations for Data Science and Analytics: A Knowledge Framework for Professional Standards

by Usama Fayyad and Hamit Hamutcu

Beyond Unicorns: Educating, Classifying, and Certifying Business Data Scientists

by Thomas Davenport

Data Science in Heavy Industry and the Internet of Things

by Michael Horrell, Larry Reynolds, and Adam McElhinney

When Translation Problems Arise Between Data Scientists and Business Stakeholders, Revisit Your Metrics

by Katie Malone

What Does It Take to Be a Successful Data Scientist?

by Michael R. Berthold

A Balanced Perspective on Prediction and Inference for Data Science in Industry

by Nathan E. Sanders