To map where your organization lies on the MLOps maturity spectrum, Xomnia's experts crafted a concise self-assessment that you can complete for free by clicking on the bar below.
The result will rank your organization or team based on the 3 main domains of MLOps best practices, namely:
- Feature and Experiment Tracking
- Maintenance and Deployment
- Monitoring and Alerting
Why are MLOps important?
With the growing integration of machine learning and AI in software products and services, it's essential to establish MLOps best practices and tools to ensure developing, testing, deploying, monitoring, and maintaining machine learning models in real-world production environments.
To know more about the role of MLOps in your organization or discuss your assessment results with an expert, fill the form below to request a free consultantion.