Sponsor
Statistical Science
proseminar
Machine Learning Applications in Supply Chain Problems
Wednesday, April 6,
-
Speaker(s): Dr. Kanchana Padmanabhan, Director of Machine Learning Solutions and Anne-Flore Elard, Director, Advanced Analytics Services – Kinaxis
Kinaxis has been on the Leader board of Gartner for Supply Chain Technology and Software with breakthroughs such as concurrent planning. Today, we will present some innovative machine learning driven use cases Kinaxis is helping Fortune500 companies with: retail use cases; life sciences, automotive and manufacturing use cases. We will walk you through how machine learning modules are applied to solution critical problems in those different industries, the innovations behind it and how data scientists work to implement them
Kanchana Padmanabhan is the Director of Machine Learning Solutions at Kinaxis, a global enterprise supply chain management software company. She holds a Ph.D. in Computer Science from NC State University, and teaches at the University of Toronto and Ryerson University. Kanchana is passionate about building productized ML solutions.
Anne-Flore Elard is the Director of Advanced Analytics Services at Kinaxis, with about 14 years of experience in applying data engineering, data science and analytics techniques as part of Professional Services and trained in Statistics and Management with an MBA from MIT Sloan. Driven by the value-add that well-managed data and data science can bring to businesses, she has led ML/AI services teams at Deloitte, Scotiabank, Rubikloud and Kinaxis with the goal to bring Machine Learning innovations to the market.
Kanchana Padmanabhan is the Director of Machine Learning Solutions at Kinaxis, a global enterprise supply chain management software company. She holds a Ph.D. in Computer Science from NC State University, and teaches at the University of Toronto and Ryerson University. Kanchana is passionate about building productized ML solutions.
Anne-Flore Elard is the Director of Advanced Analytics Services at Kinaxis, with about 14 years of experience in applying data engineering, data science and analytics techniques as part of Professional Services and trained in Statistics and Management with an MBA from MIT Sloan. Driven by the value-add that well-managed data and data science can bring to businesses, she has led ML/AI services teams at Deloitte, Scotiabank, Rubikloud and Kinaxis with the goal to bring Machine Learning innovations to the market.
