Deploying machine learning models from Jupyter notebooks to production is a complex and fragmented process. Engineers often struggle with inconsistent packaging mechanisms, forcing them to repackage models multiple times, slowing down development and increasing risk. KitOps solves those issues by standardizing AI/ML packaging & versioning for speed, security, & consistency so you can move fast without breaking things. Here's a new episode on #cloudnativefm