Personalizing experiences across digital channels is critical to Western Union’s digital banking strategy. Machine learning algorithms coupled with curated data sets enables them to build ML models that incentivize adoption of digital products and provide their digitally onboarded customers with intelligent services that personalizes offers based on customer segmentation models.
Join Snowflake and Pavan Yerra, Senior Director Data Strategy, Conversational AI & Loyalty Products at Western Union to learn more about:
- Western Union’s machine learning strategy as part of the digital banking strategy
- Machine learning use cases and best practices with Snowflake and Amazon SageMaker
- Scaling use cases with AutoML using Amazon SageMaker Autopilot integration with Snowflake