Shopping cart analysis and targeted advertising with AI has been a recipe for success for many e-commerce industry titans. Learn how.

Time series modeling is a powerful technique that acts as a gateway to understanding and forecasting trends and patterns. Join us for a 45-minute lightning demo on advanced time series.

Businesses need to be agile and consider ways to adjust their pricing strategy to react to economic environment changes, competitor strategies and more. Learn how.

The importance and impact of time series analysis and modeling techniques continues to grow. Join us for a 45-minute lightning demo followed by live Q&A on time series foundations.

We will take the prepared data set from Part 1 of this Lightning Demo series and show how to build, validate, and score a multi-horizon forecasting model.

We’ll begin with a raw industrial time series data set and show how to use RapidMiner to prep the data for modeling. Watch now.

Machine learning architecture needs to scale with data volumes and modeling requirements. In this Lightning Demo, see how RapidMiner AI Hub helps do just that.

In order to extract the desired information from unstructured text, data scientists rely on a technique called entity extraction. Learn how to do it in RapidMiner.

Python is the most popular programming language in the world right now. RapidMiner leverages these cutting edge libraries & provides integrated JupyterHub.

It’s important to be able to prevent customer churn in order to generate revenue for your business. In this workshop, you’ll learn how with RapidMiner.

Many use cases require getting predictions in real-time, while maintaining throughput and low latency. Learn how the RapidMiner Real-Time Agent can be used to solve these demanding use cases.

Unstructured data presents many challenges in the business world. In this session we will cover how to solve these use cases with document classification techniques in RapidMiner.