Make Your Data Science Actionable: Real-Time Machine Learning Inference with Stream Processing

Are you ready to make your machine learning algorithms operational within your business in real time?

In this webinar, we will walk through an architecture for taking a machine learning model from training into deployment for inference within an Open Source platform for real-time stream processing.

We will also cover:

• The typical workflow from data exploration to model training through to real-time model inference (aka scoring) on streaming data.
• Important considerations to ensure maximum flexibility for deployments that need the flexibility to run in Cloud-Native, Microservices and Edge/Fog architectures.
• A live demonstration of a working example of a machine learning model used on streaming data within Hazelcast Jet.