Highlights
(16:44) We are trying to understand human beings because data science is nothing else but to affect some change in the real world which affects humans and if we don't understand their priorities, it's a moot point.
(25:20) Well, there's bias and the goal is to reduce it so if you're talking about bias and problem framing, the first thing I do is say close your laptop just don't even look at it and the second thing I highly recommend is a whiteboard, just hashing through the problems that you're trying to solve using some low-tech method like a whiteboard without looking at the data.
(28:54) It's a little frightening in some ways... especially I get a little nervous when I think about like cognitive computing and programs that are programming like machines talking to machines and when the human element gets sort of left out of the entire equation quite literally, sometimes that makes me a little nervous for our future because I want to make sure that that the black box is a solid one and then it's a good one and it's an ethical one.
Introduction to Beverly Wright
(0:32) Dr. Beverly Wright is a Chief Analytics Strategist at Axis Group and Executive Director for the Center for Applied Business Analytics at the University of South Carolina.
Beverly is a sought-after professional speaker at well-known conferences, presenting on topics such as data science, consumer insights, and marketing analytics, and she also publishes articles in a variety of business journals.
Dr. Beverly Wright hosts TAG Data Talk, a podcast offered by the Technology Association of Georgia, in which she and her interviewees discuss topics such as talent, tools, trends, and techniques in data science and analytics.
Beverly earned a Ph.D. in Marketing, a Master of Science degree in Analytical Methods, and a Bachelor of Business Administration degree in Decision Sciences from Georgia State University.
She has also received a Professional Research Certification from the Marketing Research Association and is currently a Certified Analytics Prof
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