5 Tips for Applying DevOps Best Practices to MLOps

Gartner predicts that by 2027, more than 90% of new business software applications will incorporate machine learning (ML) models, highlighting the rapid integration of these models as standard components in modern software.

To ensure security, traceability, and trust in the released software, it’s crucial to integrate model development and management into the existing software development lifecycle (SDLC) and software supply chain.

Fortunately, by applying existing DevOps best practices with an MLOps approach, organizations can effectively manage the increasing incorporation of ML models into their software systems.