The adoption of AWS cloud technology at NatWest Group means moving our machine learning (ML) workloads to a more robust and scalable solution, while reducing our time-to-live to deliver the best products and services for our customers.
In this cloud adoption journey, we selected the Customer Lifetime Value (CLV) model to migrate to AWS. The model enables us to understand our customers better and deliver personalized solutions. The CLV model consists of a series of separate ML models that are brought together into a single pipeline. This requires a scalable solution, given the amount of data it processes.
This is the final post in a four-part series detailing how NatWest Group partnered with AWS Professional Services to build a scalable, secure, and sustainable MLOps platform. This post is intended for ML engineers, data scientists, and C-suites executives who want to understand how to build complex solutions using Amazon SageMaker. It

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