Financial institutions are constantly dealing with vast volumes of sensitive data and it’s crucial for them to process and act on this data in real time. In this presentation, we will discuss a real-life case study showcasing how Gathr enabled the implementation of data processing and machine learning on Spark, to accelerate the process of real-time credit card approvals.
Drawing from the experience of building a real-time credit card approval system for a leading bank, you will learn about modern data architecture, tools and methodologies, to streamline and accelerate your own data to outcome journey.
The key pieces of creating a real-time decisioning system
Step-by-step walk-through of an ML-based pipeline in Spark
A clear roadmap for developing and operationalizing models at scale
Solution blueprint that can be applied to your own use case