Real-time conversational insights from phone call data
Practical AI: Machine Learning, Data Science
English - February 17, 2020 17:00 - 51 minutes - 47.5 MB - ★★★★★ - 37 ratingsTechnology Education How To changelog machine learning deep learning artificial intelligence neural networks computer vision Homepage Download Apple Podcasts Google Podcasts Overcast Castro Pocket Casts RSS feed
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Daniel and Chris hang out with Mike McCourt from Invoca to learn about the natural language processing model architectures underlying Signal AI. Mike shares how they process conversational data, the challenges they have to overcome, and the types of insights that can be harvested.
Daniel and Chris hang out with Mike McCourt from Invoca to learn about the natural language processing model architectures underlying Signal AI. Mike shares how they process conversational data, the challenges they have to overcome, and the types of insights that can be harvested.
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Featuring:
Mike McCourt – GitHub, LinkedInChris Benson – Twitter, GitHub, LinkedIn, WebsiteDaniel Whitenack – Twitter, GitHub, Website
Show Notes:
Mike McCourt | Invoca Employee Spotlight
Invoca
Signal AI
Zipf’s law
Meet the Data Scientists Behind Invoca’s Conversational Analytics Algorithms
-Invoca raises $56 million to apply AI and analytics to voice calls
-Invoca’s Signal Discovery uses machine learning to conduct conversational analysis on inbound calls
-Invoca - What Will You Discover?
Something missing or broken? PRs welcome!