This is the first post of a four-part series detailing how NatWest Group, a major financial services institution, partnered with AWS to build a scalable, secure, and sustainable machine learning operations (MLOps) platform.
This initial post provides an overview of the AWS and NatWest Group joint team implemented Amazon SageMaker Studio as the standard for the majority of their data science environment in just 9 months. The intended audience includes decision-makers that would like to standardize their ML workflows, such as CDAO, CDO, CTO, Head of Innovation, and lead data scientists. Subsequent posts will detail the technical implementation of this solution.

Read the entire series:

Part 1: How NatWest Group built a scalable, secure, and sustainable MLOps platform
Part 2: How NatWest Group built a secure, compliant, self-service MLOps platform using AWS Service Catalog and Amazon SageMaker
Part 3: How NatWest Group

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