Mahesh Vinayagam of qBotica discusses the changing landscape of the automation ecosystem, and how enterprises can best use these changes to increase efficiency.

This panel brings together different perspectives to discuss how they can best work collaboratively to ensure data science projects have the desired impact.

Elise Watson of Clarkston Consulting shows how to use RapidMiner to enhance the health care professional’s journey.

The presentation explores the relationship between the player intangibles and whether they have ever taken their team to a playoff game.

Muddasir Hassan of Anblicks discusses using AI and IoT technology to speed up the fault detection process and predict defects faster.

Learn how RapidMiner can be adopted for teaching machine learning concepts in the educational setting.

In this two-part presentation, Lionel demonstrates how to use clustering for preprocessing and how to use clustering for semi-supervised learning.

This presentation reviews the latest enhancements to the book, now published in its fourth edition as an interactive, smart textbook on the MyEducator platform.

This session outlines how to use RapidMiner to support investment & maintenance decision-making for linear and networked assets such as pipelines, roads, electric transmission lines, water distribution systems, etc.

This presentation demonstrates a new extension that adds the ability for data scientists to make their projects as easily understood as possible.

RapidMiner’s own Head of Data Science Martin Schmitz gives an overview of the new Python Operating Framework in this presentation.

In this presentation, Sven discusses the current position of RapidMiner as a tool for personalized medicine and what is needed to promote the understanding and adoption.