Top 10 ways machine learning may help DevOps

This post provides a high-level overview of 10 ways machine learning can assist DevOps, including making sense of test data, managing help-desk alerts, enhancing DevSecOps security, gathering user requirements, assisting developers with code suggestions and guardrails, automating testing, improving communication, saving time on manual provisioning, improving software quality through defect prediction, and integrating workflows for continuous improvement. It mentions the importance of AI/ML skills for future careers and references GitLab's 2021 Global DevSecOps Survey.