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Generating "hunches" using smart home data 🏠

Podcast |: Practical AI: Machine Learning, Data Science
Publisher |: Changelog Media
Media Type |: audio
Podknife tags |: Artificial Intelligence,; Business,; Data Science,; Interview,; Machine Learning,; Tech News,; Technology
Categories Via RSS |: Software How-To,; Tech News,; Technology
Publication Date |: May 04, 2021
Episode Duration |: 00:42:42

Description
Content Encoded

Smart home data is complicated. There are all kinds of devices, and they are in many different combinations, geographies, configurations, etc. This complicated data situation is further exacerbated during a pandemic when time series data seems to be filled with anomalies. Evan Welbourne joins us to discuss how Amazon is synthesizing this disparate data into functionality for the next generation of smart homes. He discusses the challenges of working with smart home technology, and he describes how they developed their latest feature called “hunches.”

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Featuring:

Evan Welbourne – Twitter, LinkedIn
Chris Benson – Twitter, GitHub, LinkedIn, Website
Daniel Whitenack – Twitter, GitHub, Website

Show Notes:

Something missing or broken? ai-132.md">PRs welcome!

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