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Summary:
Ryan Allen is a Senior Principal Data Scientist in the Office of the Chief Data Scientist at UnitedHealth Group. His day-to-day consists of making transformational technologies, creating AI systems that revolutionize healthcare operations, and, of course, evangelizing machine learning. He’s part of a team that’s setting the vision for artificial intelligence in healthcare.
In this episode, Ryan talks about how machine learning is helping bring people alive!
Chapters:
[0:00 - 4:38] Introduction
Welcome, Ryan Allen!
Today’s Topic: Bringing people alive with machine learning
[4:39 - 10:33] Cool People-Related Trends in Machine Learning
Having uninterrupted conversations with clients while machine learning algorithms pull up their information
Eliminating the need to check your calendar to schedule tasks thanks to machine learning
[10:34 - 21:05] Losing the People Element in the Numbers
How to not lose the humanity in the data
Realizing that there might be an inherent bias in the data you’re using
[21:06 - 26:06] Bring People Alive in Machine Learning
Explainable AI and how it can give employees a newfound voice
Adding important context to otherwise uninformative data
[26;07 - 28:17] Final Thoughts & Closing
Episode summary
Ryan shares his closing thoughts
Quotes:
“Understand the process that created the data that you’re going to be using. You get a better product, and you also don’t lose the humanity in the numbers.”
“When we start modeling things like turnover rate and we're able to use explainable AI to see why it's coming up with the results, we're really giving those people a voice. We're being able to ask an entire population of employees, or patients, or whoever, what do you think about this?”LinkedInGoogle DuplexProduction by Affogato Media
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Produced by Affogato Media
