Meetup #110

Demystifying Vertex AI: Pros, Cons, and Lessons Learned

Being Vertex AI recent in the MLOps landscape, many doubts arise about its potential adopters. The purpose of this meetup is to demystify Vertex AI. In this episode, we break down the pros, cons & lessons learned from the speaker’s Vertex AI journey.

Take-aways

How organizations can approach Vertex AI and start creating value out of it? How the approach to vertex AI can differ depending on the maturity level of your organization.

In this episode

Pelayo Choya Carreter

Pelayo Choya Carreter

Machine Learning Engineer, Richemont S.A

Pelayo is a Machine Learning Engineer working for Richemont SA in Switzerland. They are building up their MLE team & platform to serve their very big organization. Coming from the start-up, where Pelayo worked in ML, this is a complete change of paradigm!

LinkedIn

Demetrios Brinkmann

Demetrios Brinkmann

Host

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 Epstein

Ben Epstein

Host

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.