Machine learning operations

What is ML-Ops?
Machine learning operations, MLOps, are best practices for businesses to deploy ML models, often with operational applications.

MLOps combine machine learning, applications development and IT operations.MLOps combine machine learning, applications development and IT operations.

Why is ML-Ops required?
ML is now becoming as mainstream as software applications, which calls for an efficient process to incorporate ML practices. Similar to ML-Ops, DataOps and ModelOps refers to the processes for managing datasets and AI models, respectively.

Benefits:

  • Shortens the time from data training to production
  • Define clear roles and reduce wasted time
  • Lower the costs by managing computing resources
  • Role-based access ensures security and audit