Make Data Science Actionable, Machine Learning Inference with Stream Processing

Make your Data Science Actionable, Real-time Machine Learning Inference with Stream Processing

Are you ready to take your machine learning algorithms and make them operational within your business in real time? In this talk, we will walk through the general theory of stream processing and discuss 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.
How the technologies like IMDG and Streaming Engine combine to provide performance at scale.
A live demonstration of a working example of a machine learning model used on streaming data within Hazelcast Jet.

The talk is aimed at Architects and Developers alike who are keen to explore ways to inject intelligence from Machine learning to existing or new platforms in real-time

About the speaker

John DesJardins is currently VP Solution Architecture and CTO for North America at Hazelcast, where he champions growth and adoption of their in-memory computing platform. His expertise in large scale computing spans Microservices, Big Data, Internet of Things, Machine Learning and Cloud. He is an active blogger and speaker. John brings over 25 years of experience in architecting and implementing global scale computing solutions 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.

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Agenda

6pm: Registration and networking

6.30pm: Make your Data Science Actionable, Real-time Machine Learning Inference with Stream Processing

7.30pm: Snacks and Drinks. Raffle draw to win a £50 Amazon Gift Card

Big thanks to our sponsors Hazelcast - https://www.hazelcast.com

This event is organised by RecWorks on behalf of the London Java Community.

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