Model Management

Get more models into production by utilising the ModelOps approach. ACTICO Decision Management Platform supports teams for deploying business rules and predictive models together while ensuring governance.

• Automate and simplify the deployment and monitoring process so you can start using models faster.
• Reuse and repurpose models from a centrally managed repository to accelerate productivity.
• A collaborative environment helps reduce the friction between business, data science and IT.
• Ensure governance of the AI/ML model lifecycle to mitigate risks and ensure transparency of all decision models.

A central model repository enables non-technical users and IT to safely collaborate and manage versions of models with ease whilst ensuring full traceability and auditability.

• Collaboration of multiple people working on the same models is supported by a central model repository and also through reservation of model parts for exclusive editing.
• A revision history of each model is saved, ensuring full transparency to who changed what, when and why.
• Visualisation of changes made, allowing to easily graphically compare rule models and keep or discard changes.
• Use of the industry standard Git for version control with optional synchronization with an external Git server.
• Full transparency and ability to track any change in a module, release, deployment, environment, user, or user group, including permissions.

Profit from the functions of a seamlessly integrated Git as a version control system with easy-to-use user interface of the ACTICO Decision Management Platform repository for managing business rules and predictive models.

• Make use of standard Git tooling to clone, checkout, commit and push changes, thereby facilitating easy integration into IT processes and tools.
• No need to save different versions of the project at multiple locations. All versions of a project are automatically stored in a central repository along with the changes made.
• Since you can selectively check out any version, even if a team member makes an error, you can still revise and continue development from the last working point of the project.