Open FinTech Forum 2019

Business Rules and Machine Learning Model predictions generally drive decision-making in lot of use cases such as fraud detection, marketing, customer experience, etc. There is an increasing need to write, test and deploy decision-making rules as quickly as possible with little-to-no engineer involvement in today’s quickly changing environment.

This presentation will focus on providing an insight into the challenges involved and applied solutions around resiliency, availability, monitoring, etc. while developing the micro-services style design that takes advantages of real time data streams to help to reduce the time-to-market and simplify the construction of various decision-making applications.

This talk will also provide insight into how we have leveraged Kubernetes features to support dynamically scalable and fault-tolerant decision-making based applications.