In this workshop, we discuss our “Post-Modern Data Stack”, that is, a deconstruction of the MLOps stack we previously shared with the community. In particular, we join the “modern data stack” (Snowflake + dbt) with “modern MLOps” practices, using Metaflow to bridge the gap between data, training, and inference in a pure serverless fashion. As usual, we refuse to work in a toy stack, and with toy data: leveraging our huge data release from last year, we walk through a real-world recommendation pipeline, going from raw data to a live endpoint serving predictions. You can download: Joining the modern data stack with the modern ML stack: https://github.com/jacopotagliabue/post-modern-stack
In this episode
Director of AI, Coveo
Educated in several acronyms across the globe (UNISR, SFI, MIT), Jacopo Tagliabue was co-founder of Tooso, an A.I. company acquired by Coveo in 2019. Jacopo is currently the Director of A.I. at Coveo, shipping models to hundreds of customers and millions of users. When not busy building products, Jacopo teaches MLSys at NYU and explores topics at the intersection of language, reasoning, and learning (with research work presented at NAACL, RecSys, ACL, SIGIR). In previous lives, he managed to get a Ph.D., do sciency things for a pro basketball team, and simulate a pre-Columbian civilization.
Demetrios is one of the main organizers of the MLOps community and currently resides in a small town outside Frankfurt, Germany. He is an avid traveller who taught English as a second language to see the world and learn about new cultures. Demetrios fell into the Machine Learning Operations world, and since, has interviewed the leading names around MLOps, Data Science, and ML. Since diving into the nitty-gritty of Machine Learning Operations he felt a strong calling to explore the ethical issues surrounding ML. When he is not conducting interviews you can find him making stone stacking with his daughter in the woods or playing the ukulele by the campfire.
Ben was the machine learning lead for Splice Machine, leading the development of their MLOps platform and Feature Store. He is now a founding software engineer at Galileo (rungalileo.io) focused on building data discovery and data quality tooling for machine learning teams. Ben also works as an adjunct professor at Washington University in St. Louis teaching concepts in cloud computing and big data analytics.