MLOps Coffee Sessions #131 {Podcast BTS} with Ethan Rosenthal, Let's Continue Bundling into the Database co-hosted by Mike Del Balso.
To like suggest ideas and ways of working with the data that Ethan is working with and also help them find problems and leverage them to create visualizations, they are also playing with the idea of natural language processing and seeing how they can apply it to our workflow and how that can help us understand what they're seeing in the data that we have and see how they can use that to inform the decisions they make.
Ethan is also looking at the impact that language models have on how they approach their workflow, how they structure their data, and if they can use that to make better decisions. Hopefully, it's all hype, and they have real use cases. That's the goal.
// Abstract
The relationship between ML Engineers and Product Managers is something that we don't talk about enough. We've got to get this right. If we don't get this right, either you're not focusing on the business problems in the right way or the Product Managers are not going to understand the tech appropriately to help make the right decisions.
// Bio
Ethan works on the Conversations Team at Square leading a team of Artificial Intelligence Engineers. Ethan's team builds applied AI solutions for Square Messages, a messaging hub for Square merchants to communicate with their customers. Prior to Square, Ethan spent time as a freelance data science consultant building machine learning products for a range of companies, from pre-seed startups to Fortune 100 enterprises.
Ethan got his start in data science working at two different e-commerce startups, Birchbox and Dia&Co. Before data science, Ethan was an actual scientist and got his Ph.D. in experimental physics from Columbia University.
// MLOps Jobs board
https://mlops.pallet.xyz/jobs
// MLOps Swag/Merch
https://mlops-community.myshopify.com/
// Related Links
https://www.ethanrosenthal.com/
Relevant blog posts:
https://www.ethanrosenthal.com/2022/05/10/database-bundling/
https://www.ethanrosenthal.com/2022/07/19/materialize-ml-monitoring/
https://www.ethanrosenthal.com/2022/01/18/autoretraining-is-easy/
--------------- ✌️Connect With Us ✌️ -------------
Join our slack community: https://go.mlops.community/slack
Follow us on Twitter: @mlopscommunity
Sign up for the next meetup: https://go.mlops.community/register
Catch all episodes, blogs, newsletters, and more: https://mlops.community/
Connect with Demetrios on LinkedIn: https://www.linkedin.com/in/dpbrinkm/
Connect with Mike on LinkedIn: https://www.linkedin.com/in/michaeldelbalso/
Connect with Ethan on LinkedIn: https://www.linkedin.com/in/ethanrosenthal/
To like suggest ideas and ways of working with the data that Ethan is working with and also help them find problems and leverage them to create visualizations, they are also playing with the idea of natural language processing and seeing how they can apply it to our workflow and how that can help us understand what they're seeing in the data that we have and see how they can use that to inform the decisions they make.
Ethan is also looking at the impact that language models have on how they approach their workflow, how they structure their data, and if they can use that to make better decisions. Hopefully, it's all hype, and they have real use cases. That's the goal.
// Abstract
The relationship between ML Engineers and Product Managers is something that we don't talk about enough. We've got to get this right. If we don't get this right, either you're not focusing on the business problems in the right way or the Product Managers are not going to understand the tech appropriately to help make the right decisions.
// Bio
Ethan works on the Conversations Team at Square leading a team of Artificial Intelligence Engineers. Ethan's team builds applied AI solutions for Square Messages, a messaging hub for Square merchants to communicate with their customers. Prior to Square, Ethan spent time as a freelance data science consultant building machine learning products for a range of companies, from pre-seed startups to Fortune 100 enterprises.
Ethan got his start in data science working at two different e-commerce startups, Birchbox and Dia&Co. Before data science, Ethan was an actual scientist and got his Ph.D. in experimental physics from Columbia University.
// MLOps Jobs board
https://mlops.pallet.xyz/jobs
// MLOps Swag/Merch
https://mlops-community.myshopify.com/
// Related Links
https://www.ethanrosenthal.com/
Relevant blog posts:
https://www.ethanrosenthal.com/2022/05/10/database-bundling/
https://www.ethanrosenthal.com/2022/07/19/materialize-ml-monitoring/
https://www.ethanrosenthal.com/2022/01/18/autoretraining-is-easy/
--------------- ✌️Connect With Us ✌️ -------------
Join our slack community: https://go.mlops.community/slack
Follow us on Twitter: @mlopscommunity
Sign up for the next meetup: https://go.mlops.community/register
Catch all episodes, blogs, newsletters, and more: https://mlops.community/
Connect with Demetrios on LinkedIn: https://www.linkedin.com/in/dpbrinkm/
Connect with Mike on LinkedIn: https://www.linkedin.com/in/michaeldelbalso/
Connect with Ethan on LinkedIn: https://www.linkedin.com/in/ethanrosenthal/
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