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?”

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