Schedule

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2019
Tuesday, January 8th
12:00 AM

Big Data Redux: New Issues and Challenges Moving Forward

J. Alberto Espinosa, American University
Stephen Kaisler, Applied Technology Group
Frank Armour, American University
William Money, The Citadel

Grand Wailea, Hawaii

12:00 AM - 12:00 AM

Don’t Get the Cart before the Horse: There Are No Shortcuts to Prescriptive Analytics

Robert St Louis Junior, Arizona State University
Benjamin Shao, Arizona State University
Jeremy Glassman, Arizona State University

Grand Wailea, Hawaii

12:00 AM - 12:00 AM

Finding the Next Unicorn: When Big Data Meets Venture Capital

Johannes Weibl, Institute for Information Systems
Thomas Hess, LMU Munich

Grand Wailea, Hawaii

12:00 AM - 12:00 AM

Helping Data Science Students Develop Task Modularity

jeff saltz, syracuse university
Robert Heckman, Syracuse University
Kevin Crowston, Syracuse University
Sangseok You, HEC Paris
Yatish Hegde, Syracuse University

Grand Wailea, Hawaii

12:00 AM - 12:00 AM

How to Cope with Change? - Preserving Validity of Predictive Services over Time

Lucas Baier, Karlsruhe Institute of Technology
Niklas Kühl, Karlsruhe Institute of Technology
Gerhard Satzger, Karlsruhe Institute of Technology

Grand Wailea, Hawaii

12:00 AM - 12:00 AM

Introduction to the Minitrack on Big Data and Analytics: Pathways to Maturity

Stephen Kaisler, Applied Technology Group
Frank Armour, American University
J. Alberto Espinosa, American University

Grand Wailea, Hawaii

12:00 AM - 12:00 AM

Materiality Maps – Process Mining Data Visualization for Financial Audits

Michael Werner, Copenhagen Business School

Grand Wailea, Hawaii

12:00 AM - 12:00 AM