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Focusing MLOps on the Data Scientist with Adam Probst of ZenML | Utilizing AI 3×09

Many data scientists and ML engineers have faced the challenge of putting AI models into production, and this is the core of MLOps. In this episode, Adam Probst, Co-Founder of ZenML, joins Frederic Van Haren and Stephen Foskett to discuss the challenges of putting ML models into production.  Machine learning pipelines are inherently complex and fragile and require feedback and tuning, and this requires a new approach with continuous improvement and tight integration. Although reminiscent of DevOps, MLOps demands even more collaboration between IT operations, developers and data scientists, and lines of business. ZenML prepares ready-to-use MLOps infrastructure to these groups so they can focus on the model rather than the platform.

Three Questions

  1. Asked by Stephen: How big can ML models get? Will today’s hundred-billion parameter model look small tomorrow or have we reached the limit?
  2. Asked by Frederic: Is MLOps a lasting trend or just a step on the way for ML and DevOps becoming normal?
  3. Asked by Zach: What’s the most innovative use of AI you’ve seen in the real world?


Adam Probst, Co-Founder, ZenML . Connect with ZenML on GitHub , LinkedIn and on Twitter @ZenML_io


Frederic Van Haren, Founder at HighFens Inc., Consultancy & Services. Connect with Frederic on or on Twitter at @FredericVHaren .
Stephen Foskett, Publisher of Gestalt IT and Organizer of Tech Field Day . Find Stephen’s writing at and on Twitter at @SFoskett.    

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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.

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