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MLOps with Amazon SageMaker: Carsales journey to scale AI (Level 400 | Experts)

Operationalising machine learning models, particularly scaling MLOps capability across teams within an organisation is a difficult feat. In this session, we discuss how easily you can accelerate your MLOps journey using Amazon SageMaker Pipelines. Learn how Carsales keeps up with an increased demand in building and productionising AI models, and their strategy to democratise AI across the whole development teams. This allows any developer to be a citizen data scientist and ML engineer by leveraging Amazon SageMaker.

Romina Sharifpour, AI/ML Specialist Solutions Architect, AWS
Agustinus Nalwan, Head of AI/ML, Carsales.com

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Unlock insights with intelligent document processing (Level 300 | Advanced)
Unlock insights with intelligent document processing (Level 300 | Advanced)

Processing documents such as PDFs and static images is a common task in every business. The documents could...

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