Machine learning is taking the world by storm and many financial services organizations are starting to use it. These same organizations have rules engines in place for making business decisions. Each technology is geared towards a specific problem.

Rules engines are geared more toward executing discrete logic that needs to have 100% precision. Machine learning is focused on taking a number of inputs and trying to predict an outcome.

In this coffee break, we'll chat about:

The strengths of machine learning vs. rules engines.
The solution that best fits a specific use case.
Considerations of various patterns in using machine learning and rules engine together.