Session: Combine the Strengths of an Open Source Rules Engine and Machine Learning Platform to Power Decisioning
In today’s world, customers expect software to be always available and responsive, regardless of the amount of demand. They also expect software to be intelligent and to make their job easier via automation while having the ability to learn. How can we achieve this? By combining the power an Open Source Rules engine Drools with a Open Source Machine Learning Platform H2O and deploying both in a Reactive Microservices Architecture.
Drools unlocks the power to manage and execute business decisions via configuration at scale. The H2O machine learning platform makes it easy to train and deploy a machine learning model. Using Drools and H2O together takes a solution a step further by providing the ability to predict the future. Deploying both of these in a Reactive Microservices Architecture adds further benefits by increasing scalability while reducing coupling by using an event stream that uses choreography over orchestration.
Join this session to learn more about each of these technologies and how you can use them together to build a leading edge solution! We will also showcase an example with a working demonstration.
