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Webinar: Quality Prediction for the Smart Factory Floor with Altair RapidMiner
February 6 @ 7:00 AM - 8:00 AM
Avoid downtime, reduce waste, and reach your sustainability goals with Altair’s innovative approach to smart factory analysis
This free to attend webinar provides a fantastic opportunity to learn how you can utilise data to identify hidden anomalies and deliver insights for next-level monitoring and maintenance of your manufacturing assets. In this demo and live Q&A session, you’ll get practical advice for you to take back to your workplace.
Manufacturers are increasingly harnessing the power of data analytics to streamline operations, and it’s clear why. In today’s data-rich manufacturing environments, insights extracted from sensor data, machine logs, and production records are invaluable. These insights can be translated into avoiding downtime, minimizing waste, and fostering sustainability. Integrating data analytics is a pivotal step in your digital transformation journey and more feasible than you may think.
WHY SHOULD YOU ATTEND?
Learn how to unleash the power of data to meet sustainability goals, drive manufacturing efficiency and achieve business success in practice.
In this webinar you will learn how to:
Prepare the Data
This demonstration highlights the initial and crucial steps in data analytics with RapidMiner. It showcases how to effectively organize, clean, and prepare datasets for analysis, emphasizing the power and ease-of-use of RapidMiner’s data preparation tools.
Create and deploy your own predictive Machine Learning Models
This segment presents a walkthrough on building and deploying machine learning models using RapidMiner. The demo will cover the entire process, from choosing algorithms to refining models, illustrating how RapidMiner simplifies creating predictive insights.
Create an interactive app to monitor predictions and real-time data
In this part of the demo, the focus is on constructing an interactive application within RapidMiner. The demonstration will show how this app can enable real-time monitoring of data and predictions, providing valuable insights for informed decision-making.
Adjusting parameters for your model to ensure desired outcome from a Manufacturing Process
This demonstration will explore the process of fine-tuning machine learning models in RapidMiner, particularly for optimizing models for the manufacturing processes. It will emphasize how adjusting various model parameters can lead to improved manufacturing efficiency and accuracy.
Account Executive – Sweden
Solutions Specialist –
Analytics & IoT