On-demand webinar
AI Stack on AWS: Amazon SageMaker and Beyond
Uncover the capabilities of Amazon SageMaker for building an end-to-end architecture for Machine Learning infrastructure.
ON-DEMAND WEBINAR
Join Provectus and Amazon Web Services (AWS) to explore practical ways how to use Amazon SageMaker services, opensource components, and data processing and data storage ecosystem to build an end-to-end architecture for Machine Learning infrastructure, to enable enterprise-wide AI.
The session is illustrated with real-world case studies of AWS and Provectus customers.
Request the Webinar
See the Provectus privacy policy for details on how we collect, use, and share information about you.
ON-DEMAND WEBINAR
Join Provectus and Amazon Web Services (AWS) to explore practical ways how to use Amazon SageMaker services, opensource components, and data processing and data storage ecosystem to build an end-to-end architecture for Machine Learning infrastructure, to enable enterprise-wide AI.
The session is illustrated with real-world case studies of AWS and Provectus customers.
Empower your ML team and launch AI projects more rapidly on AWS
At this exclusive webinar, you will learn how to create a canonical SageMaker workflow and how to expand it to a holistic implementation that includes feature store, data versioning, machine learning pipeline orchestration, and model monitoring best practices.
Who Should Attend
The webinar content is geared toward technology executives, manager-level tech roles, and data engineers. Do not hesitate to invite your boss.
Presented by
Christopher A Burns
Sr. AI/ML Solution
Architect, AWS
Stepan Pushkarev
Chief Technology Officer, Provectus
Pritpal Sahota
Technical Account Executive, Provectus
