About the webinar
As organizations increasingly adopt AI, finding the balance between flexibility in model development and maintaining robust governance in production becomes crucial.
In this webinar, we will address the challenge of providing developers with the freedom to work in their preferred IDEs while ensuring proper oversight of models deployed in production.
We’ll explore how SAS Viya Workbench offers a scalable and flexible coding environment for SAS, Python and R developers, paired with on-demand compute power.
Additionally, we’ll dive into the importance of synthetic data generation. Using SAS Data Maker, you can create new data sets that mirror your original data without compromising security.
Through a credit scoring use case, we’ll demonstrate how these capabilities can enhance decision making, security and governance in your AI journey.
Join us to discover how to scale AI development while safeguarding your data and maintaining control.