On-Demand Webinar

Exploring New Worlds with
Machine Learning & Deep Learning

Navigate through the complex world of AI and discover your path to value.

Cost: Complimentary

_AI PATHFINDER
           VIRTUAL ROADSHOW

About the webinar

We begin the AI Pathfinder journey with Machine Learning and Deep Learning. These two concepts within the AI world are very complex and tend to be used interchangeably.

Join us as we break down the components of Machine Learning and Deep Learning in a digestible way. Using real-life examples, we will cover the business applications of ML and DL across various industries and identify areas of value generation.

Why attend?

  • Learn business applications of Machine Learning and Deep Learning
  • Explore how to enable Machine Learning throughout the entire analytical process
  • Discover how to make Machine Learning transparent and approachable

Have a SAS profile? To complete this form automatically Sign In

*
*
*
 
*
 
*

All personal information will be handled in accordance with the SAS Privacy Statement.

 
  Yes, I would like to receive occasional emails from SAS Institute Inc., its affiliates, and third parties whom SAS has a business relationship with about SAS products and services. I understand that I can withdraw my consent at any time by clicking the opt-out link in the emails.
 
 

About the Experts


Matthew Joyce
Senior Solutions Architect, SAS

Matt has an MA in Economics and specializes in solving business problems using advanced analytics and designing AI solutions across Western Canada. He has delivered numerous value assessment programs to various clients to maximize the use of SAS solutions and services that address customer needs.


Sabrina Mancini
Systems Engineer, SAS

Sabrina is a Systems Engineer working on the Canadian federal government team at SAS Canada. In her current role, she works with various data science and analytics teams in government departments to help them develop their current analytical processes. Showing customers the value of their data is her favourite part of the job. 

She holds a Bachelor’s degree in economics and a Master’s degree in analytics.

Back to Top