Using AntiPatterns to avoid MLOps Mistakes

Understand

We describe lessons learned from developing and deploying machine learning models at scale across the enterprise in a range of financial analytics applications.

• These lessons are presented in the form of antipatterns.
• Just as design patterns codify best software engineering practices, antipatterns provide a vocabulary to describe defective practices and methodologies.
• Here we catalog and document numerous antipatterns in financial ML operations (MLOps).