Live from TWIMLcon! Culture & Organization for Effective ML at Scale

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About this Episode

TWIMLcon brought together so many in the ML/AI community to discuss the unique challenges to building and scaling machine learning platforms. In this episode, hear from a diverse set of panelists including Pardis Noorzad, Data Science Manager at Twitter, Eric Colson, Chief Algorithms Officer Emeritus at Stitch Fix, and Jennifer Prendki, Founder & CEO at Alectio, moderated by Maribel Lopez, Founder & Principal Analyst at Lopez Research. We delve into how to approach changing the way companies think about machine learning, including engaging different groups to work together effectively - i.e. c-suite, marketing, sales, engineering, etc. Something that everyone can agree on is the importance of clear communication about ML lifecycle management, what it means vs what non-ML folks think it means, and how full-stack roles can provide immense value. Hear from people that have experienced start-ups and large corporations in a range of industries reveal tips and tricks to work faster, more efficiently, and create an org-wide culture that holds machine learning as a valued priority.
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