Machine learning operations

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

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

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