How to NOT get ML Models into Production - Ryan Turner Lightning Talk at MLOps World 2023

Ryan Turner presents this lightning talk on the various pitfalls of productionizing ML models. Common issues include dependency management, correct testing processes, and overreliance on Python notebooks. There will be no shortage of satire and metaphor. The talk will draw upon the collective experience of several ML engineers at DVC. This talk was in part inspired by Community member Eirik Berge, PhD's hilarious article in Medium: https://towardsdatascience.com/how-to-not-get-machine-learning-models-in-production-742e6b79847d Ryan Bio: Ryan has worked as an ML engineer at companies like Uber and Twitter. He is now developing the platform at [Iterative.AI](http://iterative.ai/). He grew up in Santa Cruz, CA. After spending a few years in the UK and then Canada, he now lives in Reno, NV. 📌 START LEARNING DVC • 📘 Docs: https://dvc.org/doc • 🎓 Free Online Course: https://learn.dvc.org • 💻 VS Code Extension: https://marketplace.visualstudio.com/items?itemName=Iterative.dvc • 📺 Subscribe to our channel: https://www.youtube.com/@dvcorg8370?sub_confirmation=1 💬 LET'S CONNECT • GitHub: https://github.com/iterative/dvc • Discord Community: https://dvc.org/chat • Twitter/X: https://twitter.com/DVCorg • LinkedIn: https://www.linkedin.com/company/iterative-ai/ 👇 COMMENT: What part of DVC would you like us to cover next? #DataVersionControl #MLOps #MachineLearning #ReproducibleML #DVC