Real-Time Predictions on the Factory Floor

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Deploying and operating Machine Learning models is crucial for manufacturing and in IoT use cases. In this live demo, you’ll see how to build a Structured Streaming application from scratch, ingesting sensor data. You’ll learn how to deploy a machine learning model and integrate it into your Streaming Application to make real-time predictions in your very own virtual factory.

Session hashtag: SAISStreaming2

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Mate Gulyas
About Mate Gulyas

Mate is Practice Lead and Principal Instructor at Databricks. Mate also serves as CEO and Principle Instructor at Datapao, a Big Data and Cloud consultancy and training firm, focusing on industrial applications (aka Industry 4.0). Previously he was Co-Founder and CTO of, an award-winning Budapest based startup.Mate has experience spanning more than a decade with Big Data architectures, data analytics pipelines, operation of infrastructures and growing organisations by focusing on culture. Speaker and organiser of local and international conferences and meetups.