Title
AWS re:Invent 2022 - NatWest: Personalizing banking at scale with machine learning on AWS (FSI203)
Summary
- NatWest Group, a major UK bank, faced challenges in delivering machine learning (ML) workloads quickly and dealing with siloed data.
- They transformed their ML delivery using AWS SageMaker, improving speed and governance of data access.
- Over 500 data scientists and engineers were hired to expand analytics and data science capabilities.
- NatWest's strategy focused on personalization to improve customer financial well-being, resulting in a significant increase in customer engagement.
- The bank's ML operations vision addressed challenges in people, process, data, and technology, leading to the standardization of patterns and simplification of data access.
- AWS SageMaker ecosystem was central to their ML operations, providing a shared service account, development, test, and production accounts, and a federated operating model.
- The bank achieved a reduction in time to create ML environments from 50 days to less than a day.
- NatWest built a feature store and scaled up their data lake, moving it to AWS.
- They are exploring data sharing with non-competitive banks through a banking insights platform on AWS.
- The bank anticipates running thousands of ML models, fully governed and controlled, to radically transform their operations.
Insights
- NatWest's journey highlights the importance of ML in personalizing customer experiences at scale in the banking industry.
- The transition to AWS SageMaker demonstrates the platform's suitability for large, complex, and regulated industries like banking.
- The bank's focus on personalization and customer well-being as a strategy for engagement and growth is a shift from traditional sales-driven approaches.
- NatWest's ML operations vision and the use of AWS services underscore the need for standardization, simplification, and modernization in ML deployment.
- The bank's efforts to democratize ML across various departments, including legal and risk, indicate a broad organizational commitment to data-driven decision-making.
- NatWest's initiative to build a banking insights platform for sharing data with other banks suggests a collaborative approach to innovation in the financial sector.
- The case study of NatWest at AWS re:Invent 2022 serves as a blueprint for other financial institutions looking to leverage cloud services for ML and data analytics.