Organisational Challenges of MLOps // Adam Sroka // MLOps Coffee Sessions #38

Coffee Sessions #38 with Adam Sroka of Origami Energy, Organisational Challenges of MLOps.

//Abstract
Deploying data science solutions into production is challenging for both small and large organizations. From platform and tooling wars to architecture and design pattern trade-offs it can get overwhelming for inexperienced teams. Furthermore, many organizations will only go through the painful discovery process once. Adam will share some of his experiences from consulting and leading data teams to successfully deploying machine learning solutions, highlighting some of the more difficult challenges to overcome. You might not be surprised to hear it’s not all down to the tech.

//Bio
Dr. Adam Sroka, Head of Machine Learning Engineering at Origami Energy, is an experienced data and AI leader helping organizations unlock value from data by delivering enterprise-scale solutions and building high-performing data and analytics teams from the ground up. Adam shares his thoughts and ideas through public speaking, tech community events, on his blog, and in his podcast.

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Connect with Adam on LinkedIn: https://www.linkedin.com/in/aesroka/

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