Campuses:

The Unfulfilled Fourth Industrial Revolution

Friday, September 14, 2018 - 1:25pm - 2:25pm
Lind 305
Marcus Braun (DataRobot)
There is tremendous business value at stake from the adoption and application of ML-based techniques in industry. However, multiple organizations have made significant investments in ML only to be disappointed with the magnitude and pace of results. In this talk we discuss some of the reasons capturing large-scale business impact with ML has proven challenging. We will also explore the role automation of the data science value chain could play in helping organizations achieve their ML ambitions and realizing the promised, but as-of-yet unfulfilled potential of the technology.

Marcus Braun studied mathematics and electrical engineering at the University of Minnesota. After graduating in 2008, Marcus worked for four years as software / power systems engineer with Siemens Energy. In 2014, Marcus received a master’s in EECS and an MBA from MIT and joined McKinsey & Company as a consultant. From 2014-2018 Marcus served numerous Fortune 500 companies on a variety of topics including strategy, operations, and advanced analytics. In his present role with DataRobot, Marcus helps clients identify, prioritize, and execute on opportunities to capture business value through the application of ML.