US Chief Data Scientist at Deloitte Consulting
Jim is the US chief data scientist of Deloitte Consulting, and a member of Deloitte’s Human Capital. He has extensive experience designing and building analytical solutions in a variety of public and private sector domains. He has also spearheaded Deloitte’s use of behavioral nudge tactics to more effectively act on algorithmic indications and prompt behavior change. Jim is a former professor at the University of Wisconsin-Madison business school, and he holds a PhD in the Philosophy of Science from The University of Chicago. Jim is a Fellow of the Casualty Actuarial Society and recently served on its board of directors.
Track: Analytics Leadership
Monday, April 15, 11:30am–12:20pm
Why Effective Data Science Needs Human-centered Design
While data science and AI are often framed in technical terms, the economic success of data science projects often hinges on organizational and human factors. This talk will explore what might be called a “Greater Data Science” perspective: beyond statistics and computer science, ideas from such domains as psychology, behavioral economics, and human-centered design are often needed to bridge the gaps that exist between algorithmic outputs and improved business outcomes. This talk will provide examples in which such considerations have made the difference between project success and failure; and will articulate a framework to guide future applications.