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Jan 24, 2024 24 min

Alberta Machine Intelligence Institute Product Owner Mara Cairo

from How AI Happens Hosted by Sama

Key Points From This Episode: Amii’s machine learning project management tool: MLPL. Amii’s ultimate goal of building capacity and how it differs from an agency model. Asking the right questions to ascertain the appropriate use for AI. Instances where AI is not a relevant solution. Common challenges people face when adopting AI strategies. Mara’s perspective on the education necessary to excel in a career in machine learning. 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: Maria Cairo Maria Cairo on LinkedIn Alberta Machine Intelligence Unit How AI Happens Sama

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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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Alberta Machine Intelligence Institute Product Owner Mara Cairo

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