Learn how you can lead a transformation on the shop floor – not by starting from scratch, but by getting more from what you already have.

In this session, you’ll learn how RapidMiner can help you continuously monitor the shop floor by accessing industry-standard data storage programs like OSI-PI and OPC-UA, then make your team aware of important developments in real-time.

This session will show you how you can use data science to move from preventive to predictive maintenance by using RapidMiner to conduct anomaly detection on real-time data.

You’ll see how allowing machines to process visual inputs can help you gather real-time data from a video feed, analyze people’s actions within it, and detect inconsistencies against pre-defined standards.

Learn how data science can help to address challenges in the beer-brewing process. We’ll go through an end-to-end example that’s based on a research project we’re working on.

In this session, we’ll demonstrate how you can use image analysis tools to create a more efficient process by transforming a standard .mp4 video file of an analog pressure gauge into precise, digitized, and timestamp-indexed data table.

This session is a demonstration of the RapidMiner-Tableau Integration component developed by Bhupendra Patil of RapidMiner for classification and association mining.

Learn more about data-driven process optimization for the beverage industry from Martin Schmitz’s presentation at The DATAcated Conference 2021.

Scott Genzer developed a technique for using free online facial recognition tools to identify people in photographs. See how it’s applied to historical photos of the Jewish community and beyond.

What exactly do data scientists do? Watch this interview with Scott Genzer, a Data Scientist at RapidMiner, to find out all of the details.

In the Gartner Data Science and Machine Learning Bake-Off, we share RapidMiner’s end-to-end data science capabilities. See it in action.

In this series of four videos RapidMiner founder, Ingo Mierswa, demonstrates a complete automated data science project from end to end.