Distribute and consume the insights your AI models generate at scale. Unify the complete data science lifecycle, from data exploration and machine learning to model operations and visualization. Connect directly to your enterprise’s data sources—including files, databases, data lakes and Internet of Things (IoT) data streams.
Establish clear processes for building and deploying explainable, understandable AI and machine learning models and interactive applications to prevent trust erosion.
Authenticate users, authorize access and encrypt and audit your data. Provide full control over who’s accessing which data. Base every insight your team generates on credible information.
Create complex AI and machine learning models in a fully integrated notebook environment using Python and R. Or use the powerful, intuitive drag-and-drop canvas to build models code-free.
Connect directly to cloud data platforms, data lakes and warehouses, SQL databases, flat files and IoT data streams. Unify your data to prevent errors and power accurate, explainable AI. Foster collaboration and data sharing to sharpen competitiveness and expedite time-to-market.
Rapidminer AI Studio allows domain experts without coding experience to build effective machine learning models quickly. Data scientists can also build complex models in the software’s complete development environment. They can combine elements created in Python or R with elements created by the software itself using the software’s visual workflow editor.
Make it easy to distribute and consume the insights your AI models generate at scale. Add users and embed models wherever they can deliver the greatest impact for your business without compromising your data’s security or integrity. Deploy the software at the workgroup, operating division or global enterprise level. Implement on any major cloud platform, on premises—or take a hybrid approach.
