Mara explains how the team at Amii decides when ML is and isn't appropriate to use. We discuss Amii’s process and its ultimate goal, along with common challenges their partners face when implementing AI solutions.
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Key Points From This Episode:
Quotes:
“Amii is all about capacity building, so we’re not a traditional agent in that sense. We are trying to educate and inform industry on how to do this work, with Amii at first, but then without Amii at the end.” — Mara Cairo [0:06:20]
“We need to ask the right questions. That’s one of the first things we need to do, is to explore where the problems are.” — Mara Cairo [0:07:46]
“We certainly are comfortable turning certain business problems away if we don’t feel it’s an ethical match or if we truly feel it isn’t a problem that will benefit much from machine learning.” — Mara Cairo [0:11:52]
Links Mentioned in Today’s Episode:
After attending Meta's event celebrating 10 Years of AI progress at FAIR, Rob shares what he learned with Sama's Director of Machine Learning, Jerome Pasquero, for some much needed technical insight.
Bryan discusses what constitutes industrial AI, its applications, and how it differs from standard AI processes.
Sama provides ML Professionals and AI team Leads with an indispensable solution for Computer Vision data labeling.
