Built for analytics teams, RapidMiner unifies the entire data science lifecycle from data prep to machine learning to predictive model operations.
Data Engineer
Business Analyst
Domain Expert
Data Scientist
CAO
CIO
Visual workflow for predictive analytics
AutoML built for anyone
Write code in a managed notebook environment
AI Hub
Connects AI to people, process, and value. Enterprise-wide collaboration, decision automation, deployment and control.
Seamlessly integrated & optimized for building ML models
Design models using a visual workflow designer or automated modeling
Deploy & manage models and turn them into prescriptive actions
Seamlessly integrated & optimized for building ML models
Design models using a visual workflow designer or automated modeling
Deploy & manage models and turn them into prescriptive actions
RapidMiner now offers a complete path to fully automated data science with Turbo Prep, Auto Model and Model Ops. With a few clicks, you can access and prep your data, build the best model, and deploy it into production.
Data prep that’s fast, fun, and intuitive
RapidMiner Turbo Prep makes it easy to get data ready for predictive modeling. Interactively explore data to evaluate its health, completeness, and quality. Quickly fix common issues like missing values and outliers. Blend multiple datasets together and create new columns using a simple expression editor. When the data is finally ready, create predictive models using RapidMiner Studio and Auto Model, or just export it to popular business applications like Excel.
Create predictive models in 5 clicks
RapidMiner Auto Model uses automated machine learning and best practices to build predictive models in 5 mouse clicks. Just point at data, select models to run, and let Auto Model use hyperparameter tuning and automatic feature engineering to generate the best possible model. Save the results of Auto Model as a RapidMiner Studio process for further refinement and tuning and to see exactly how the model was created. #noblackboxes
Model deployment and management made easy – for any model and any user
RapidMiner Model Ops offers an easy way for business users to put models into production. Users can automatically create robust scoring processes, integrate with other IT systems, manage and monitor performance on a model leaderboard, see and prevent concept drift and bias.
Machine learning models that have such potential to impact your business can also be hard to explain. Here’s how to understand model explainability and build trust in data science.
Get a complimentary copy of the 2020 Forrester Wave: Multimodal Predictive Analytics And Machine Learning Solutions
Read our platform brochure to learn more about how RapidMiner unifies the entire data science lifecycle from data prep, to machine learning and model operations.
