The Conversational AI Podcast

Episode 5: Tom Sherwood from Koios

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In this episode, I'm meeting Tom Sherwood, CEO of Koios to discuss the bleeding-edge field of emotionally intelligent AI. This is definitely worth a listen.

Tom shares his unique background (the Army, Recruiter, Snap, Spotify!) and then goes on to explain the formation of Koios, and how their technology leverages voice analysis to understand personality traits.

We explore some of the applications of the Koios technology in the recruitment and sales markets, we discuss the business model behind the Koios API, and I ask Tom about the future of human-machine interaction.

Tom finishes by discussing the importance of human connection in AI systems and offers insights for those developing conversational AI interfaces.

If you'd like to know more, I strongly recommend reaching out to Tom directly via his LinkedIn profile.

Takeaways

  • Emotionally intelligent AI can enhance human interactions.
  • Voice analysis can reveal personality traits effectively.
  • Recruitment processes can benefit from personality insights.
  • Sales strategies can be tailored based on personality understanding.
  • Koios uses acoustic and linguistic data for analysis.
  • The business model is based on API calls for analysis.
  • Human-machine interaction is evolving with AI advancements.
  • Understanding the human element is crucial in AI development.
  • AI can help scale coaching and training in organisations.
  • Future applications may include personalised virtual coaching.

    • Chapters

    • 00:00 Introduction to Emotionally Intelligent AI
    • 02:40 Tom's Unique Background and Journey
    • 05:52 The Birth of Koios and Its Mission
    • 08:43 Understanding Personality Through Voice
    • 11:30 Applications in Recruitment and Sales
    • 14:39 Business Model and API Functionality
    • 17:33 Ethical Considerations and Use Cases
    • 20:46 Future Roadmap and Human-Machine Interaction
    • 23:45 Enhancing Conversational AI with Emotional Intelligence
    • 26:16 Final Thoughts and Recommendations
      • ...more
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