RBL Bank has chosen
Amazon Web Services (AWS), a subsidiary of Amazon.com, as its preferred cloud provider.
AWS assists RBL Bank in strengthening its
AI-powered banking products and driving digital transformation, adding considerable value to the Bank's
creative services, reducing expenses, and tightening risk controls.
The
Bank is expanding its analytics capabilities and investing in
artificial intelligence (AI) to execute diverse use cases across multiple divisions, including
Risk, Customer Service, Human Resources, and Operations. As part of Banks' bigger AI roadmap, the
Banks AI Center of Excellence collaborated with AWS to design a templatized framework for rolling out use cases using
Amazon Sage Maker to rapidly and efficiently build, train, and deploy machine learning (ML) models.
RBL Bank's Risk and Operations departments
will use
Amazon Textract, a machine learning tool that extracts text, handwriting, and data from scanned documents, to evaluate documents such as financial accounts, stock statements, and stock audit reports to identify default risk.
RBL Bank analysts can extract data and automate the handling of 2,500 papers per quarter using machine
learning. Other use cases being evaluated in the
Operations division include using services like
Amazon Rekognition and
Amazon Textract to automatically extract and match customer signatures, as well as employing fuzzy match algorithms to replace manual name matching in various processes.
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