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Accelerating Financial Services AI Model Development with SAS Viya Workbench | S02 EP39 | Lets Talk About Data

Accelerating Financial Services AI Model Development with SAS Viya Workbench | S02 EP39 | Lets Talk About Data

Explore how SAS Viya Workbench streamlines AI model building for banking and insurance companies. This cloud-native environment empowers data scientists and developers to accelerate model development for critical financial services use cases, from fraud detection and anti-money laundering to credit risk analysis and investment strategies. Discover how SAS Viya Workbench offers a flexible and scalable platform, allowing seamless integration with existing SAS and Python code—without the need for extensive cod

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Tony Mullen
Amazon Employee
Published Oct 23, 2024
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In this show we discuss SAS Viya Workbench, a tool for accelerating financial services and AI model development. SAS is a leading provider of business analytics software and services, with a focus on data, analytics, and AI. Workbench is designed to provide a fast, secure way for data scientists and developers to access their data and tools within a customer's virtual private cloud environment.
We explain the key benefits of SAS Viya Workbench, including its speed, flexibility, and ease of use. It allows users to quickly spin up coding environments and access their data without the overhead of installation or infrastructure management. Workbench supports a variety of data sources and programming languages, enabling collaboration between SAS and Python users. The platform also has built-in features for model development, deployment, and governance, making it well-suited for use cases in financial services like fraud detection and anti-money laundering.
We discuss Workbench's security architecture, which isolates customer data and compute resources within their own virtual private cloud. Workbench's goal is to empower users to be productive with data and analytics, while also meeting enterprise requirements around governance, compliance, and cost control.
Bullet Point Highlights:
  • SAS is a leading provider of business analytics software and services, with a focus on data, analytics, and AI
  • Workbench is designed to provide a fast, secure way for data scientists and developers to access their data and tools within a customer's virtual private cloud environment
  • Key benefits of Workbench include speed, flexibility, ease of use, and support for collaboration between SAS and Python users
  • Workbench is well-suited for financial services use cases like fraud detection and anti-money laundering
  • Workbench's security architecture isolates customer data and compute resources within their own virtual private cloud
  • Future plans include expanding supported data sources and IDE integrations
Check out the recording here:
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Hosts of the show 🎤

Tony Mullen - Senior RDS Specialist Solutions Architect @ AWS

Guests 🎤

Joe Madden - Senior Product Manager @ SAS
Diana Rothfuss - Global Product Marketing Director, Financial Services - Risk, Fraud & Compliance @ SAS
Dmitry Frizner - Senior Solutions Architect @ AWS

Links from today's episode

SAS Viya Workbench
AWS Marketplace Listing
Analyst Viewpoint
Product Manager Q&A
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Any opinions in this post are those of the individual author and may not reflect the opinions of AWS.

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