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Recorded Webinar

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

60 minutes
Recorded February 5, 2019

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

Join us for an on-demand webinar titled, “Make Your Data Science Actionable, Real-Time Machine Learning Inference With Stream Processing”.

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.
  • Live demonstration of a working example of a machine learning model used on streaming data within Hazelcast Jet.


John DesJardins, CTO N. America & Community Advocate at Hazelcast

John DesJardins is currently Community Advocate and CTO for North America at Hazelcast, where he is championing the growth of our Developer and Customer Community. His expertise in large scale computing spans Data Grids, Microservices, Cloud, Big Data, Internet of Things, and Machine Learning. He is an active blogger and speaker. John brings over 20 years of experience in architecting and implementing global scale computing solutions, including working with top Global 2000 companies while at Hazelcast, Cloudera, Software AG and webMethods. He holds a BS in Economics from George Mason University, where he first built predictive models, long before that was considered cool.

Riaz Mohammed, Senior Solutions Architect at Hazelcast

Riaz has 15+ years’ experience in developing high throughput & low latency trading systems, surveillance & monitoring systems mainly in the Finance sector. He has been part of core development teams delivering global sales and trading platforms in Tier 1 Investment Banks.