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

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Webinar
/ Video
/ 60 min

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.

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