Developing Machine Learning (ML) Models with Snowflake and Amazon Sagemaker

Register once to get access to both webinars!*

Kickstart your machine learning initiatives with this two-part deep dive into building machine learning models with Snowflake and Amazing Sagemaker.

In the first part of this two-part series, hear from Snowflake customer Western Union as they detail how 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. The following week, join Snowflake for an instructor-led virtual hands-on lab to learn how to build data-intensive applications with ML.

ON-DEMAND

PART I: HOW WESTERN UNION POWERS INTELLIGENT BANKING SERVICES WITH SNOWFLAKE & AMAZON SAGEMAKER

Attend this webinar 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

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December 22 | 10:00 AM PT

PART 2: HANDS-ON LAB—BUILD AND DEPLOY SCALABLE MACHINE LEARNING MODELS WITH SNOWFLAKE AND AWS 

Attend this lab to learn how to:

• Prepare data and create temporary database clone in Snowflake
• Train a machine learning model using Amazon SageMaker 
• Push model into production that writes inference results in Snowflake 

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*By completing the form you will automatically be registered for both webinars listed above. If you wish to register for individual webinars, click on the Learn More links associated with each webinar.