Adopt ModelOps within DevOps to solve data science challenges

What this post added

This post introduces the ModelOps stage within GitLab, which aims to bring data science capabilities into the DevOps platform. It outlines three primary groups within ModelOps: DataOps (data processing, cleaning, and preparation), MLOps (building, training, and deploying AI/ML models), and AI Assisted (enriching existing GitLab features with ML for automation). The post details the user personas and challenges associated with each group and emphasizes the goal of enabling collaboration between data science and DevOps teams to build and deploy data-rich modern applications.