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MLOps Is About Quality Not Technology with Steph Locke | Utilizing AI 2×24

MLOps is similar to DevOps but focused on ML, and focuses on improving the quality of delivery for artificial intelligence applications. In this episode, Stephen Foskett discusses MLOps with Steph Locke, CEO of Nightingale HQ. DevOps is very much a cultural shift for software development, while MLOps in practice tends to be more of a team sport, with software developers, data scientists, machine learning experts, and IT infrastructure and operations. Another benefit of MLOps is the improvement of efficiency that results from having all these diverse groups collaborate on application development and deployment.

Three Questions

  1. How long will it take for a conversational AI to pass the Turing test and fool an average person?
  2. Are there any jobs that will be completely eliminated by AI in the next five years?
  3. How big can ML models get? Will today’s hundred-billion parameter model look small tomorrow or have we reached the limit?

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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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