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3 Critical Aspects of Creating a Successful Enterprise AI Strategy
Let’s explore three aspects of a comprehensive enterprise AI strategy that are the most critical to your success.
One Platform. Does Everything.
Built for analytics teams, RapidMiner unifies the entire data science lifecycle from data prep to machine learning to predictive model operations.
Fully Transparent, End-to-End Platform
Data Engineer
Accelerate connectivity to enterprise data
Business Analyst
Easily use machine
learning
Domain Expert
Ensure business alignment
Data Scientist
Amplify productivity & collaboration
CAO
Operationalize competitive advantage
CIO
Scale prescriptive analytics across the enterprise
Studio
Visual workflow for predictive analytics
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Go
AutoML built for anyone
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Notebooks
Write code in a managed notebook environment
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AI Hub
Connects AI to people, process, and value. Enterprise-wide collaboration, decision automation, deployment and control.
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Connect all your data, no matter where it lives
Data Prep
Seamlessly integrated & optimized for building ML models
Machine Learning
Design models using a visual workflow designer or automated modeling
Model Operations
Deploy & manage models and turn them into prescriptive actions
Integrate with all your applications, databases & BI tools
Connect all your data, no matter where it lives
Data Prep
Seamlessly integrated & optimized for building ML models
Machine Learning
Design models using a visual workflow designer or automated modeling
Model Operations
Deploy & manage models and turn them into prescriptive actions
Integrate with all your applications, databases & BI tools
Get Started with Fully Automated Data Science
From data exploration to modeling to production
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.
RapidMiner Turbo Prep
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.
RapidMiner Auto Model
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
RapidMiner Model Ops
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.
RapidMiner at a Glance
300000
+
Global Users
+
Organizations
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Universities
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Enterprise Clients
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Extensions
Related Resources. Take a Look!
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
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.