Companies have to develop model deployment fluency

“The challenge is that many companies simply lack the data engineering, data science and MLops expertise required to properly build a model, place it into a system or environment (cloud or on-prem), deploy and run. Companies have to develop fluency in how to deploy models in various environments and how to run those models and how to manage models for drift and related issues. This doesn’t mean they need to hire legions of technical talent. Rather they can simply gain the basic organization competency and fluency and leverage emerging players who shoulder much of this complexity and are offering MLaaS or machine-learning-as-a-service.”

– Edward Scott, CEO, ElectrifAi

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