The Centre for Analytics and Artificial Intelligence Engineering (CARTE) Industry Speakers Series welcomes Dr. Kanchana Padmanabhan (Director of Machine Learning Solutions) and Anneya Golob (Principal Data Scientist) of Kinaxis, a global enterprise supply chain management software company.

The session is moderated by Professor Elias Khalil, Scale AI Research Chair in Data-Driven Algorithms for Modern Supply Chains, University of Toronto.

Abstract: In this talk, we will provide a view into real world application of machine learning in the retail industry. We will go over the entire lifecycle of ML starting with a use-case, from data to the final ML solution that can be used in real-time with considerations for speed and accuracy. Along the way we will include some of our learnings, having built ML solutions since 2013 using real data. Finally, we will talk about how our ML philosophy has opened doors to exploring some important optimization problems in this field.

Dr. Kanchana Padmanabhan bio: 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.

Anneya Golob bio: Anneya Golob is Principal Data Scientist at Kinaxis, a global enterprise supply chain management software company. She holds a MSc in Astrophysics from Saint Mary’s University and is interested in demand forecasting and optimization problems. She also likes running, crocheting, and dogs.