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Welcome to the Data Science Festival Sandbox Session:
Session abstract: Understanding the supply chain, customer behaviour and effect of offer/promotion in large retail organisation such as M&S is a non-trivial task. Identifying causal impact of one set of action on another is an essential task in decision making. In M&S, we use machine learning in conjunction with causal inference to answer the “why” and “what-if” questions. In this talk we will discuss samples of the use of causal inference and application of Bayesian techniques in M&S.
Ticket Allocation Process: Once registered through our event platform, you will be sent your schedule via email which you can add to your calendar. You will get sent a reminder email the morning of the event and 20 minutes before, with your URL link to join the event. Don’t forget you can create your own bespoke schedule throughout the year, adding any talks that catch your eye.
PLEASE NOTE: You will need to register for the event on the link provided below to receive a joining link. If you do not, you will not be able to join the event.
RECORDINGS WILL BE ADDED TO THE SITE A FEW DAYS AFTER THE SESSION
Click here to sign up for this specific event: https://sandboxsessions.datasciencefestival.com/talks/causal-data-science-in-retail-1/?preview=1