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The Motivation for MLOps

Posted Jan 05, 2023 | Views 653
# MLOps Motivation
# ML Architect
# Enterprise Architect
# corelogic.com
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Steven Fines
Sr. Principal ML Architect @ CoreLogic

26 years in the trenches as a software engineer, the last 15 focused on development and support for ML and analytics pipelines.

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Ben Epstein
Founding Software Engineer @ Galileo

Ben was the machine learning lead for Splice Machine, leading the development of their MLOps platform and Feature Store. He is now a founding software engineer at Galileo (rungalileo.io) focused on building data discovery and data quality tooling for machine learning teams. Ben also works as an adjunct professor at Washington University in St. Louis teaching concepts in cloud computing and big data analytics.

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SUMMARY

As an emerging sub-discipline, MLOps still needs to prove itself inside many enterprises where ML may present significant opportunities. Focused on the needs of the ML and Enterprise Architect this talk discusses some of the key areas which motivate the adoption of an MLOps approach to handling ML solution development and operations.

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