About this episode
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 – Website , GitHub , LinkedIn , X Daniel Whitenack – Website , GitHub , X 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!