Test
KNIME for MLOps and IT
Securely deploy, manage, and scale analytics with a single installation while ensuring enterprise-grade security and governance.
Scale analytics safely with a central platform
One platform to administer access, automate deployment, and manage models
Explore Success Stories
Success Story
Truata
How Truata anonymized & automated credit card data to perform self-service analytics
Success Story
Netzeffekt
How Netzeffekt provides bespoke project delivery to customers
Success Story
ZF Group
How the ZF Group improved end-of-line testing using KNIME
Why KNIME for MLOps and IT
Safely deploy and monitor models from one single place
- Validate workflows before they are deployed.
- Monitor the results of deployed workflows and update them to adapt to changing data.
- Create a training workflow that can be triggered to retrain a model for production.
- Monitor model productionization with a log capturing each state of the process.
Ensure adherence to best practices
- Infuse best practices into automated or semi-automated processes to test, validate, deploy, and monitor models, and decrease manual work for admins.
- Get a framework to separate development, testing, and production environments.
- Use the same framework to define and customize testing, validation, and deployment, and monitor production to define quality measures.
Meet enterprise needs while ensuring data security and governance
- Give timely access to data while mitigating risk with centralized access control, user rights management, and encryption.
- Ensure reproducibility with versioning, metadata mapping, auto-documentation, logging, and monitoring.
- Avoid unintended changes with rollback, and granular permissions around workflows.
Secure productionization at scale
- Support an unlimited number of users, running any number of models, which are then deployed to any number of consumers with a single installation, using KNIME Business Hub.
- Enable teams to be independent and manage their resources within IT-set parameters.
- Get high scalability with minimal burden on IT while retaining centralized control.
Community-driven innovation
- Get integrations to all the popular ML libraries and 300+ data sources with an open source approach.
- Avoid vendor lock-in and adapt to changing business needs with an extensible platform.
