Data Science First Mile and Last Mile Problems

The impact of data on business decision making and more specifically analytics and analytics-driven automation continues to increase. Most people and courses intrinsically focus on the importance of the algorithm behind the analytics or automation. Yet the choice and optimization of the algorithm is becoming automated itself. As a result, many experts miss the importance of what comes before and after the algorithm. Join Jim Guszcza, Fellow at Stanford’s Center for Advanced Study in the Behavioral Sciences and Deloitte’s first US Data Scientist, and Robert Brunner, Associate Dean for Innovation and Chief Disruption Officer at Gies College of Business, for a discussion on the important issues behind what he calls the “first-mile” and “last-mile” problems, and how they are fast becoming the key drivers for success in the field of data-driven decision making.