Practical Data Science
Practical Data Science

Abstract: 

Data is everywhere and so are opportunities for growth, innovation, and better decision making. However, there are challenges and roadblocks that need to be addressed in order to become a data-driven organization and realize that value. In this talk, I will discuss the practical steps that need to be taken to successfully integrate data science into an organization, as well as some struggles and pitfalls that commonly occur along the way. You will hear real world experience about building data literacy skills, collaboration, and investments in existing talent, and why these are important elements in building a successful data science function.

Bio: 

Michael oversees the data science training and curriculum development for all of Metis’s corporate clients, including Wells Fargo, Intel, and Fortune 500 companies across industries. He comes to Metis from General Electric where he worked to establish their data science strategy and capabilities for field services and to build solutions supporting Global operations, risk, engineering, sales, and marketing.

Michael holds a Bachelor’s degree in Mathematics and a Master’s degree in Computational Science and Engineering from the Georgia Institute of Technology.

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