Coffee Sessions #166

Eliminating Garbage In / Garbage Out for Analytics and ML

Shift left data quality ownership and observability that makes it easy for users to catch bad data at the source and stop it from entering your Analytics/ML stack.

In this episode

Roy Hasson

Roy Hasson

Head of Product, Upsolver

Roy is a the head of product at Upsolver helping companies deliver high quality data to their analytics and ML tools. Previously, Roy lead product management for AWS Glue and AWS Lake Formation.

LinkedIn

Santona Tuli

Santona Tuli

Head of Data, Upsolver

Roy is a the head of product at Upsolver helping companies deliver high quality data to their analytics and ML tools. Previously, Roy lead product management for AWS Glue and AWS Lake Formation.

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.