Reports 14 Min Read
Operationalize your AI models: 4 key elements
With the race to adopt artificial intelligence (AI) into a business, some organizations are under the misconception that simply deploying an AI model is the finish line. In reality, operationalizing an AI model through machine learning operations (MLOps) is a continuous process. The following 4 elements are key components of operationalizing your model after deployment, ideally through an AI development platform.
- Monitoring
- Maintenance
- Model retraining
- Governance
Setting up an MLOps process to operationalize your AI models requires an AI development platform designed around MLOps workflows. Red Hat® Consulting can help your organization navigate what fits your business needs.
