Real-time conversational insights from phone call data

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.

Join the discussion

Changelog++ members support our work, get closer to the metal, and make the ads disappear. Join today!

Sponsors:

• Linode – Our cloud of choice and the home of Changelog.com. Deploy a fast, efficient, native SSD cloud server for only $5/month. Get 4 months free using the code changelog2019 OR changelog2020. To learn more and get started head to linode.com/changelog.
• Brain Science – For the curious! Brain Science is our new podcast exploring the inner-workings of the human brain to understand behavior change, habit formation, mental health, and being human. It’s Brain Science applied — not just how does the brain work, but how do we apply what we know about the brain to transform our lives.

Featuring:

• Mike McCourt – GitHub, LinkedIn
• Chris Benson – Twitter, GitHub, LinkedIn, Website
• Daniel 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!