One platform to administer access, automate deployment, and manage models
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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.