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This article discusses the importance of MLOps processes in the banking industry, and the key components involved in each stage. It also covers the challenges and best practices adopted while migrating the process to the cloud, such as data/model pipelines, data quality checks, automated ETL, disaster recovery of data, and flexible handling of stress scenarios. Additionally, new age data pipelines enable easy access to data from various sources such as apps and APIs, and perform better on analytics and insights opportunities.
