On-Demand Webinar

Automation and Orchestrating
Analytical Processes

About the webinar

Did you know that automation provides a competitive edge for organizations? 

McKinsey’s September 2018 study, “The Automation Imperative”, discovered that successful organizations deployed automation for 70% of their machine learning algorithms, speeding up time to value and positioning themselves as forerunners in their business. Automation is done through automated machine learning, embedded Artificial Intelligence, or process automation. 

Join us to learn more about process automation for the entire analytical lifecycle.

This webinar will explore how to:

  • Improve process agility, reliability, integrity and manageability
  • Create, orchestrate, and govern a variety of jobs centrally
  • Automate the entire analytical lifecycle, ranging from importing data to scoring a model, pushing the output to a dashboard and distributing the dashboard to both internal and external stakeholders

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


Yen Nguyen
Solution Specialist - Data Sciences
SAS Canada

With a variety of business exposures and experience with retail analytics, specializing in marketing and demand planning, Yen aims to help businesses identifying critical business issues and proposing how to leverage the power of analytics effectively to achieve desired business values.


Alexander Terado
Customer Advisory Data Sciences
SAS Canada

Alex is a passionate advocate for analytically-driven decision making. Before joining SAS, he worked as a Data Analyst, and then as a Manager of Lead Generation and Analytics at an e-commerce startup. In his current role as a Solutions Specialist on the Data Sciences team, he works closely with customers to demonstrate how SAS enables customers to realize real business value from their analytical platforms.

Register now