Ask the Expert Webinar Series

How Do I Use SAS® Intelligent Decisioning?

On-Demand • Cost: Complimentary

About the webinar

SAS Intelligent Decisioning drives real-time interactions and automating analytically driven decisions at scale.

It is a part of a unified stack of applications on top of SAS® Viya® and can be used to satisfy a wide array of operational decisions across an organization.

With SAS Intelligent Decisioning, data and analytics are combined with business rules to form a decision flow to support processes such as underwriting, next best offer or logistical routing.

High-volume decisions are easy to handle with a cloud architecture that can scale to meet your demands.

This webinar is for decision developers who are looking to understand and learn how to use capabilities offered in SAS Intelligent Decisioning and make decisions available within business applications.

You will learn how to use the low-code graphical UI, create a decision flow by dragging and dropping decisioning elements, see examples of Python code integration and SQL DB querying, and the use of data grids.

The webinar will also include information on testing, validation and versioning of decisions and their components.

We will also cover deployment options to bring decisions into production for integration with the enterprise application stack at any company.

You will learn:

  • How to use data and machine learning models for decision making with SAS Intelligent Decisioning.
  • What decisioning components are available in SAS Intelligent Decisioning.
  • How to publish decisions and make them available within other applications.

This webinar is the first in a two part series. To register and watch part two click here.

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About the Expert

Diana Maris
Product Manager, SAS  

Diana Maris is a product manager with a decade-plus track record of implementing solutions within the business intelligence and analytics space. She has worked at SAS as a consultant with customers from a wide range of industries, including health care, banking, higher education, energy and government. She currently supports SAS customers in completing their “last mile in analytics” by translating analytics-driven insights into actionable decisions. She is setting product strategy and vision for the SAS Intelligent Decisioning application. Maris holds a master’s degree in computer science.