Webinars & Videos
Learn more about data-driven process optimization for the beverage industry from Martin Schmitz’s presentation at The DATAcated Conference 2021.
Join our upcoming webinar on Tuesday, May 11th to see how RapidMiner and Tableau can change the way you think about creating and visualizing the future.
What’s new in RapidMiner 9.9? Register for our upcoming webinar to learn how we’re making it easier to package and deploy Python code at the edge.
Watch this on-demand webinar to learn the key roles, tools and collaborative best practices for a successful, AI-driven digital transformation.
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 Part 2 of this Lightning Demo, Scott Genzer (Data Scientist at RapidMiner) will take the prepared data set from Part 1 and show how to build, validate, and score a multi-horizon forecasting model.
Learn how the usage of sentiment analysis methods and RapidMiner software can help you identifying unfavorable tweets and send a call to action to the affected departments.
In Part 1 of this Lightning Demo, we’ll begin with a raw industrial time series data set and show how to use RapidMiner to prep the data for modeling including equalizing time stamps, windowing & batching, and more.
RapidMiner 9.7 continues to put people at the center of the AI journey by fostering better collaboration, all while improving the oversight & management. Learn more.
Shopping cart analysis and targeted advertising with AI has been a recipe for success for many e-commerce industry titans. Learn how.
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.
Now more than ever, we must maintain our models like we would maintain a machine. Learn the simple steps you can take to make your models resilient during these times of rapid change.
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.
Predictive maintenance is a common use case for RapidMiner, particularly in manufacturing. Learn more on connecting OSI PI with RapidMiner.
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.
Python is the most popular programming language in the world right now. RapidMiner leverages these cutting edge libraries through scripting operators and also provides integrated JupyterHub. See it in action.
Manufacturers have a wealth of underutilized data that can be used to deliver optimization across their operations. Watch this webinar and learn how to get value from this data to solve critical business problems.
We provide Grafana as a dashboard solution powered by RapidMiner processes. Queries are fired from the dashboard & the data is fetched from RapidMiner in real-time.
Prescriptive analytics can help us make relevant decisions by providing a better understanding of how to act to change a particular outcome. Learn how.
In order to extract the desired information from unstructured text, data scientists rely on a technique called entity extraction. This session will focus on ways to perform entity extraction in RapidMiner Studio.
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.
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.
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.
If you’re doing revenue management without AI, you may be doing it wrong. Join RapidMiner and Revenue.AI for this on-demand webinar.
Our latest 9.6 release expands RapidMiner to full-time coders and BI users. Here we’ll show you the major enhancements made to our data science platform.
In this webinar, we cover the topic of process optimization through the lens of RapidMiner’s virtual optimizer—a real-time prescriptive dashboard that lets workers understand the current state of your operation, experiment with potential changes, and then implement the best solution.
In this series of four videos RapidMiner founder, Ingo Mierswa, demonstrates a complete automated data science project from end to end.
Looking to adopt AI in your manufacturing organization? Start with predictive maintenance – it rises above other use cases in terms of feasibility & impact.
Learn about the role of the business translator and how they can help identify opportunities to use advanced analytics to solve problems.
Learn about ROC (receiver operating characteristic) curves and lift charts. These popular visual approaches for comparing model qualities focus on how to determine the business value of your models.
Getting actionable insights from unstructured content isn’t easy. Learn how RapidMiner and MonkeyLearn makes it easy to aggregate and analyze your all of your unstructured content.
EY shares best practices on how organizations today are blending and drawing correlations from multiple data sources with data science to mitigate and overcome organizational risks.
Working with REST APIs can be cumbersome and challenging, in this webinar we demonstrate how to enrich and analyze chat conversations in RapidMiner Studio.
Learn how to help your marketing team turn customer data into predictions that will increase sales, optimize marketing spend, and make marketing overall more effective.
This webinar details how the partnership between RapidMiner and Talend is helping organizations operationalize predictive models in for use cases such as real-time customer experience, predictive maintenance, and fraud detection.
RapidMiner Data Scientist Dr. Fabian Temme holds a demo on a time series data set where he teaches users how to optimize their forcasting abilities
Learn how we’re addressing the data science skills gap with this radically simple tool to help anyone from an analyst to a data scientist conquer time-consuming data preparation tasks.
RapidMiner Founder Dr. Ingo Mierswa outlines how RapidMiner incorporates a novel approach for automatic feature engineering with RapidMiner Auto Model.
Join RapidMiner Founder Dr. Ingo Mierswa for this webinar on automated machine learning with RapidMiner Auto Model available in RapidMiner 8.1.
RapidMiner Founder and President, Dr. Ingo Mierswa discusses multi-objective optimization in machine learning, as well as, methods for applying it with RapidMiner.
Data Scientist Vladimir Mikhnovich discusses how to overcome the challenges that come with selling data science to your internal stakeholders.
Learn the basics of deep learning with Philipp Schlunder, Data Scientist at RapidMiner. He covers the main components used in creating neural networks.
Building models to predict customer actions is just the first step in implementing data mining and predictive analytics solutions. The integration of the models with your business
This webinar discusses the trend of the democratization of data science and how that further increases the risk for applying models in a wrong way.
Learn how modern predictive analytics helps manage and accelerate all phases of the predictive analytic process lifecycle, from source to result.
Learn how to do process mining with RapidMiner, covering concepts such as process discovery, process conformance analysis, and process performance analysis.
Learn how to build a Sales Pipeline Analysis solution using RapidMiner, removing the bias that plagues traditional forecasting processes.
Watch this webinar to learn the strategies and techniques for integrating Data Science into your Business Intelligence platform.
We’ve put together a list of the top ten most useful tips and tricks from RapidMiner’s data science team, community and super-users. Check it out.
This webinar demos Deep Learning in RapidMiner Studio and discusses the advancements that have transformed what is possible plus the most promising applications.
Learn how to leverage machine learning and data science on your available manufacturing or operations data with predictive maintenance.
Learn how to amplify predictive analytics with data visualization and put predictive & prescriptive analytics directly into the hands of every Qlik user.