The need to evolve from DevOps to MLOps arises from the unique challenges that machine learning (ML) systems bring, which traditional DevOps processes aren’t equipped to handle. While DevOps focuses on software development and operations, MLOps is necessary because ML models introduce complexities related to data, model lifecycle, and experimentation that go beyond typical software management.
