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Faster Financial Software Development Using Low Code: Focusing on the Four Key Metrics
Low code/no code can help firms achieve the four key performance metrics described in the State of DevOps Reports and Accelerate, to achieve a faster pace of software development. Financial services especially stand to benefit from the trend of adopting low code/no code to drive digital transformation.
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Federated Machine Learning for Loan Risk Prediction
In this article, author Brendon Machado discusses how data owners and data scientists can work together to create models on privatized data using the federated learning technique and shows how to use it in loan risk prediction use cases.
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Perspective on Architectural Fitness of Microservices
In this article we peel the onion of potential architectural fitness of microservices in the context of Master Data Management, and the challenges a microservices-based architecture may face when solving problem domains that require compute-intensive tasks, such as the calculation of expected losses on a portfolio of unsecured consumer credit.
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Go for the Money! JSR 354 Adds First Class Money and Currency Support to Java
First class money and currency support in Java are almost here. In this article Credit Suisse's Anatole Tresch JSR 354 spec lead, discusses the shortcomings of the legacy currency and money support, motivation for the new APIs, and lots of examples.