H2O AI and KNIME
KNIME users have worked with H2O-3 inside KNIME since 2017, and a KNIME Hub extension adds H2O Driverless AI, our AutoML. Teams can build one visual workflow from data access and preparation through automated model training, then score H2O MOJO models in KNIME with drag-and-drop predictor nodes. The integration brings the H2O Predictive AI Platform to analysts without leaving their KNIME environment.
Partnership overview
What KNIME users get
The expanded KNIME integration brings H2O automated machine learning together with the self-service data preparation, blending and guided analytics of KNIME. The joint solution automates more of the data science life cycle, from data prep and AutoML to MLOps and continuous optimization. Customers of H2O and KNIME can:
- Get fast, reliable and flexible access to data, insights and predictions across their organization's data
- Build a single integrated visual data science workflow, from data preparation to AutoML to model production
- Bring H2O Driverless AI, our AutoML, to business analysts in KNIME Analytics Platform and KNIME Server, to simplify and speed up machine learning
- Productionize Driverless AI models (MOJOs) on the KNIME drag-and-drop canvas, with model management and monitoring
Accelerate ROI on AI initiatives
- Expand automation. Automate the end-to-end data science workflow.
- Simplify data preparation. Drag and drop data sources and transformation processors.
- Ease of use. Use Driverless AI quickly and intuitively in a KNIME workflow.
- Accelerate model training. Build better models in less time with Driverless AI.
- Deploy in KNIME. Deploy H2O-3 and Driverless AI models (MOJOs) into KNIME workflows.