From Creation to Large-Scale Dissemination of Data-Driven Insights
• Securely deploy data science solutions with a standardized (but fully customizable) validation and release test process
• Fully automate the productionization process to increase the volume and velocity of data science across your organization
• Monitor and retrain in-production models, in an automated manner, to ensure accuracy and efficacy
• Keep an audit log, as well as enable rollback to previous models if needed
Automate End-to-End Data Science
The Continuous Deployment of Data Science (CDDS) extension for KNIME Business Hub includes a set of KNIME workflows and flexible data apps to help users and administrators ensure only validated data science solutions are deployed. All apps and workflows are pre-configured but can be adjusted as required. Enterprises can add their own validation and governance requirements, use internal archival setups, and change monitoring and retraining strategies.
CDDS leverages key enterprise features of KNIME software such as integrated deployment, KNIME Hub spaces with defined execution contents, workflow triggers, and more. Using its intuitive UI, users can easily deploy workflows, validate, monitor and retrain them, while administrators can oversee the entire deployment process.
The CDDS Extension for KNIME Business Hub
Watch a presentation about the Continuous Deployment of Data Science (CDDS) extension for KNIME Business Hub, "Validated Deployment of KNIME Workflows" recorded at KNIME Spring Summit, 2023.
Why KNIME for Continuous Deployment of Data Science
End-to-End Automation
Gain reliability and consistency with all dependencies integrated automatically. Close the gap between data science creation and putting results into production. KNIME’s Integrated Deployment allows all preparation and post-process steps to be identified and automatically reused in production with no changes or manual work required. Synchronization of workflow creation and production processes ensures model monitoring can automatically trigger retraining and instant redeployment for continuous optimal model performance.
Validated Production Processes
Ensure compliance with corporate governance practices and allow only validated workflows to be moved into production. With KNIME’s CDDS extension, data science applications and (API) services are checked and validated as they move – automatically or manually – through spaces for each test, validation, and production stage. Spaces can be added or adjusted per organization’s need. Via the intuitive interface, administrators can oversee the production process at a glance.
Transparency and Auditability
Keep track of models in production for complete auditability. As model performance is continuously checked, the results are logged automatically, providing full transparency and the ability to roll back to previous versions as required. Event logging is implemented throughout the KNIME CDDS extension and can be modified as required.
Automate As You Want, Including, Retraining Models
The deployment processes vary between organizations depending on industry, organization size, IT regulations, and more. Automate as much or as little as you want. Move workflows manually through stages via intuitive data apps or allow built-in triggers to fully automate validation and production. With data changes, models’ efficacy can be impacted. CDDS allows you to continuously monitor models’ performance and automatically trigger retraining as required.
