RapidMiner Go
AutoML built for anyone. Makes data science more accessible for domain experts, business users, and analysts.
Don’t wait for a data scientist – just go!
- Ensure sound technical decisions are always made with an intuitive UI, packed with guidance
- Easily explore your data and assess the potential for machine learning to help solve a new problem
- Learn what data is necessary and what models are optimal for driving new impactful insight
- Communicate results in real-time and foster meaningful conversations about putting your models in production with an easily shareable model simulator
- Complete the end-to-end data science lifecycle, with or without a data scientist
Deliver a machine learning model & full business case in minutes
- Instantly discover and build the best model for your business
- Share results with business leaders or data scientists with an explainable, visual workflow
- Justify your work with automatically generated supporting materials
- Reap the long-term benefits of reusable and editable data pipeline
Hone your datasets & create business value
- Use our centralized FeatureMart to select the most relevant data attributes for the problem you’re trying to solve
- Reference previous work on similar business cases to know which inputs to include and which to leave out
- Ensure that models stay accurate when dealing with new data on similar business problems
Optimize your model for profits & ROI
- Harness the power of the only AutoML with ‘profit-sensitive scoring’
- Simply define costs and potential gains for your scenario – RapidMiner Go does the rest
- Use auto-clustering to find grouped patterns in your data, as well as for churn analysis, next best offer, upsell, lead scoring, shopping cart analysis, and more
- Optimize models for your business based on business gains, not just accuracy
Make the whole analytics team more productive
- Beginners can leverage automation and augmentation to do the work of early model prototyping
- Experts can focus on more challenging and higher-order work, like tuning models for production
- ‘Auto-deploy’ instantly, with or without a data science or DevOps team
Rich visuals tell the story for you
- Understand different model types through a series of charts and visualizations
- Use the Model Simulator to understand how your model will behave under different sets of conditions
- Calculate and assess business impact before deploying any models into production
- Understand how different model types perform with your data, based on easy to interpret comparisons
- Share your models with anyone through a distributable interactive interface with adjustable inputs and a real-time view of predicted outcomes
Easily get your models into production
- Leverage a pre-built deployment process that’s ready to use immediately
- One-click to score new data sets in the UI for ad-hoc insights and decision-support
- Export your model as a web service to integrate it directly into any process
- Seamlessly integrated with the rest of the RapidMiner platform for analysis & tuning by you, or another experienced user
- Share the training data, as well as the data prep, modeling deployment and scoring processes with any RapidMiner Studio user
Available on any machine, anywhere, with no local resource consumption
- Access RapidMiner Go from your browser, no matter where you are
- Offload the computationally heavy model creation work to a server, on-prem or in the cloud
- Available as a full SaaS offering, through the RapidMiner AI Cloud, if you don’t have server access
Get Started with RapidMiner Go
See it in action
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Solutions Snapshot
RapidMiner Platform Brochure
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.
Analyst Report
The Forrester Wave: Multimodal Predictive Analytics And Machine Learning Solutions
Get a complimentary copy of the 2020 Forrester Wave: Multimodal Predictive Analytics And Machine Learning Solutions