Best Practices for Transitioning to Amazon SageMaker

Duration: 1 hour

Your ML-driven business transformation depends on how well your organization can manage change. Your people will have new roles, responsibilities and skill sets. You’ll need to implement new processes, such as efficiently migrating your data and existing models. Watch on-demand to learn a comprehensive approach for migrating those analytics workloads to Amazon SageMaker.

At the end of the webinar, participants will have the opportunity to register for a complimentary one or two day Machine Learning Strategy 1:1 workshop, sponsored by Slalom and AWS.

You'll learn:

• How to train, communicate and succeed at change management.
• How to operationalize and automate machine learning.
• How to migrate data, workflow and model, using AWS-powered solutions including Amazon SageMaker.

Who should watch:

C-level leaders, VPs, directors that are responsible for driving transformation, plus practitioners in the data science and IT infrastructure communities. If you are an existing builder on AWS or someone that wants to learn more about machine learning, or simply just starting your journey in the cloud, you’ll gain valuable insights and vision on how to build a modern strategy.