There's been a lot of hype regarding using machine learning (ML) for demand planning, and rightfully so, given the advancements in data collection, storage, processing, and improvements in technology. There's no reason why machine learning can't be utilized as another forecasting method among the collection of forecasting methods already being utilized, as well as provide demand planners with a “digital assistant” — or maybe not.
Join SAS for the opportunity to network with industry peers and learn about practical applications for demand planning using AI and machine learning from SAS’ Charlie Chase.
Light snacks and beverages will be served.
We look forward to seeing you on July 30th. Seats fill quickly for this exclusive event, so please reserve your spot today.
About our experts
Agenda
5:00 p.m. - 6:00 p.m. | Registration and Networking on SAS’ patio over some light snacks and beverages |
6:00 p.m.- 7:00 p.m. | Practical Applications for Demand Planning Charlie Chase In this session, SAS Charlie Chase will explore practical applications for demand planning using AI/Machine Learning. He will address the topic as why there is no reason why machine learning can't be utilized as another forecasting method among the collection of forecasting methods already being utilized, as well as provide demand planners with a “digital assistant” — or maybe not. |
SAS Toronto Office
280 King Street East, Suite 500,
Toronto, ON. M5A 1K7
This event has been postponed due to unforeseen circumstances. If you have any questions, please contact Natasha.Ulanowski@sas.com