All Utilizing AI

How the ML Community Has Evolved in 2021 with Demetrios Brinkmann and David Aponte | Utilizing AI 2×27

The MLOps community has grown dramatically recently, with security, a data-centric approach, ethical implications, and a growing and diverse community rising in 2021. In this episode, MLOps Community managers, Demetrios Brinkmann and David Aponte, join Steph Locke and Stephen Foskett to discuss what has changed over the last year. It seems that a new ML company is launching every week, and the MLOps Community provides a great way to learn about these. We are also seeing a push and pull between open source and cloud platforms, and concern about lock-in and technical debt. Data science and machine learning are merging, with a greater focus on data quality and quantity when training models.

Three Questions

  1. Is MLOps a lasting trend or just a step on the way for ML and DevOps becoming normal?
  2. Can you think of an application for ML that has not yet been rolled out but will make a major impact in the future?
  3. How big can ML models get? Will today’s hundred-billion parameter model look small tomorrow or have we reached the limit?

Companies Mentioned

Guests and Hosts

For your weekly dose of Utilizing AI, subscribe to our podcast on your favorite podcast app through Anchor FM and check out more Utilizing AI podcast episodes on the dedicated website

About the author

Stephen Foskett

Stephen Foskett is an active participant in the world of enterprise information technology, currently focusing on enterprise storage, server virtualization, networking, and cloud computing. He organizes the popular Tech Field Day event series for Gestalt IT and runs Foskett Services. A long-time voice in the storage industry, Stephen has authored numerous articles for industry publications, and is a popular presenter at industry events. He can be found online at,, and on Twitter at @SFoskett.

Leave a Comment