Panelists: Brad Powley, Salesforce; John Mark Agosta, Microsoft; Zahit Guneri, MZG Data; Aaron Schaffrina, Chevron; John Busbice, Keen Decision Systems

Presented at the 2019 DAAG Conference in Denver.

Abstract: Data Science is a nascent and increasingly popular interdisciplinary field, wherein the data scientist uses large datasets to derive insights and inform decisions. Despite this, Decision Analysis is rarely mentioned as a necessary skill for a data scientist. What are the decision making gaps in Data Science, and what can — and should — decision analysts do to help close those gaps? Can addressing these gaps be the platform by which decision analytic principles are finally scaled throughout the organization? Our panel will tackle these questions and more.

Keywords: big data bigdata, machine learning machlearn, artificial intelligence artint, analysis and modeling anamod