Introduction

In this episode, I had the pleasure of speaking with Shreya Shankar, Ph.D. student at Berkeley RISELab. We chat about auto data validation and MLOps. Shreya shares her insights on several interesting topics, including the challenges of automating the data validation process and how to overcome them. We also discuss what makes organizations able to iterate faster in machine learning, and some predictions about the future of machine learning and MLOps.

Watch the video: https://youtu.be/_hi6--H2Hug Join our Discord community: https://discord.gg/tEYvqxwhah Relevant Links: 📃 Moving Fast with Broken Data – https://arxiv.org/abs/2303.06094v1 🤖 Operationalizing machine learning https://arxiv.org/pdf/2209.09125.pdf 📒 Operationalizing notebooks https://smacke.net/papers/nbslicer.pdf ➡️ Shreya Shankar on LinkedIn – https://www.linkedin.com/in/shrshnk/ ➡️ Shreya Shankar on Twitter – https://twitter.com/sh_reya Recommendation Links: 📺 The Glory – A Korean Revenge Drama – https://www.netflix.com/title/81519223 ⛷️ Go Skiing! 🌐 Check Out Our Website! https://dagshub.com Social Links: ➡️ LinkedIn: https://www.linkedin.com/company/dagshub ➡️ Twitter: https://twitter.com/TheRealDAGsHub ➡️ Dean Pleban: https://twitter.com/DeanPlbn