“I learned very early the difference between knowing the name of something and knowing something.” —Richard Feynman
The language of data science has become commonplace in boardrooms and breakrooms with terms like Big Data, Machine Learning, Artificial Intelligence, Cognitive Computing, NLP & Text Analytics and Deep Learning. But do we know what they mean? Moreover, can we explain these concepts to our mother?
As data champions, we need to be able to explain a complex technology, quantitative methods and approaches to problem-solving in simple, easily-understood terms, not because senior leadership needs it explained simply to understand it, but as proof that we do.
In this panel discussion, we will hear from a variety of experts with perspectives that range from technology companies to management consulting to clinicians. The objective of this discussion is to unravel the “big idea” of each concept and be able to explain not only what the concept is, but provide practical examples of how each can be used and what’s likely to be involved in actually doing it.
***Additional speakers and moderator bios are coming soon!
Speakers:
Greg Nelson, MMCi, CPHIMS
Greg serves as the chief strategist, thinker, builder, teacher, writer, and inspire-er at ThotWave, an analytics advisory, and education firm. With over two decades of experience and leadership in strategy consulting and the implementation of large scale analytics projects, Greg serves customers on the front lines of healthcare. He is a prolific writer and speaker and have served on the board of both non-profit and commercial organizations. I have a BA in Psychology from the University of California at Santa Cruz, did Ph.D. work in Social Psychology and Quantitative Methods at the University of Georgia, and earned a master’s degree from the Fuqua School of Business at Duke University.