Deep Learning with PolyAI

Team PolyAI
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PolyAI's CEO/co-founder Nikola Mrkšić and team invite guests to candidly discuss trends and tech in AI, voice throughout the enterprise, and nailing the customer experience.

  1. 4日前

    Who's coordinating your army of AI agents?

    Companies are pouring money into AI, but not everyone is getting the returns. Ian Jacobs, VP and Lead Analyst at Opus Research, thinks he knows why. In this episode, your host Nikola Mrkšić sits down with Ian to work through two ideas from his latest research.  The first is Conversation Experience Orchestration: the wall between conversational AI and conversation intelligence is coming down, and conversations are becoming the layer that decides what happens next.  The second is the AI agent control plane: as enterprises get pitched agents by every vendor at once, they need a shared operating layer to keep them coordinated.  Listen to the full episode, and learn more about dialog AI at https://poly.ai?utm_source=youtube&utm_medium=podcast&utm_campaign=podcast&utm_content=podcast Follow PolyAI on LinkedInWatch this and other episodes of the Deep Learning pod on YouTube

    Who's coordinating your army of AI agents?

  2. 8月20日

    Why should CX leaders care about MCP?

    When PolyAI built its Builder MCP, one client helped shape it: Vixxo Facility Solutions, one of the largest facilities providers in the US. In this episode, guest host Damian Sasso talks with Vixxo's CTO Derek Neighbors and VP of IT Bobby Hunnicut about getting AI agents into the hands of people who've never written code, from accounting to technicians in the field. They cover why an MCP or CLI has become their litmus test for adopting any technology, how they build and ship their own MCPs as they go, why REST APIs are still the foundation, and how to stop governance debates from swallowing the whole conversation.  See how PolyAI's Builder MCP works at https://poly.ai?utm_source=youtube&utm_medium=podcast&utm_campaign=podcast&utm_content=podcast Follow PolyAI on LinkedInWatch this and other episodes of the Deep Learning pod on YouTube

    Why should CX leaders care about MCP?

  3. 8月6日

    Can AI really hear a call the way a person does?

    PolyAI just launched Dialog-RSN-1, its first audio-native model, and your host Nikola Mrkšić sat down with its builder, Matt Henderson, to unpack why it’s a game-changer for building voice agents. Most voice AI either flattens a call into a transcript and loses the audio, or goes fully speech-to-speech and gives up control of the voice. Dialog-RSN-1 does neither. It hears the raw audio directly, decides when to speak, and keeps text-to-speech separate so the voice stays under your control, all in under 300 milliseconds. Nikola and Matt get into what audio-native really means, how auto-reasoning keeps it fast, and why it beats every other real-time model on quality and quickness. Hear the full episode, and see how PolyAI builds dialog agents that hear the whole call at https://poly.ai?utm_source=youtube&utm_medium=podcast&utm_campaign=podcast&utm_content=podcast Follow PolyAI on LinkedInWatch this and other episodes of the Deep Learning pod on YouTube

    Can AI really hear a call the way a person does?

  4. 7月21日

    Is word error rate just a vanity metric?

    Voice AI vendors love to quote word error rate, usually somewhere around 2 to 3%, as proof their system understands customers. Oliver Shoulson, Agent Design & Engineering Lead at PolyAI, thinks it's one of the most misleading numbers in the business. He and Nikola Mrkšić go through a month of analysis across more than 100,000 real production call turns to explain why.  Turns out not all words carry the same weight, most transcription errors are harmless, and task success barely moves even when the system mishears, because today's models recover the way a person would.  Listen to the full episode, and see how PolyAI builds dialog agents that get this right at https://poly.ai?utm_source=youtube&utm_medium=podcast&utm_campaign=podcast&utm_content=podcast Follow PolyAI on LinkedInWatch this and other episodes of the Deep Learning pod on YouTube

    Is word error rate just a vanity metric?

  5. 6月25日

    Is AI the end of large engineering teams?

    Engineering teams are shrinking. But is that a crisis or an upgrade? In this episode of Deep Learning with PolyAI, Nikola Mrkšić sits down with Helen Greul, PolyAI's new SVP of Engineering, to explore what AI is doing to the shape of technical teams, the nature of engineering leadership, and who actually thrives when the rules change. They discuss why a new generation of non-traditional builders is outpacing seasoned development teams, how smaller nimble units with shared context are replacing large headcounts, and why complexity doesn't disappear when AI arrives: it just moves somewhere else. Follow PolyAI on LinkedInWatch this and other episodes of the Deep Learning pod on YouTube

    Is AI the end of large engineering teams?

  6. 5月14日

    Can you build a custom AI agent in 10 minutes?

    Ten minutes to a working AI agent, tested and ready to deploy. In this episode of Deep Learning with PolyAI, Frank Ferro sits down with Ruari Phipps, Senior Forward Deployed AI Engineer at PolyAI, for a live demo of the Agent Development Kit — and a look at what it actually means to give developers real control over how they build AI agents. They explore why enterprise AI platforms so often force a tradeoff between speed and control, how the ADK changes that equation, and what it looks like when a developer pairs the toolkit with an AI coding agent like Claude Code to go from a blank canvas to a fully tested, branch-ready agent in real time. Follow PolyAI on LinkedInWatch this and other episodes of the Deep Learning pod on YouTube

    Can you build a custom AI agent in 10 minutes?

  7. 4月23日

    What happens when anyone can build an AI agent?

    What happens when the ability to build an AI agent is no longer limited to developers? In this episode of Deep Learning with PolyAI, Nikola Mrkšić sits down with Michael Chen, VP of Strategic Alliances at PolyAI, to explore what's driving the explosion in AI agent development — and what it means for how enterprises build, deploy, and think about AI. They cover the rise of personal AI agents, why Jensen Huang's $1 trillion data center bet might  Follow PolyAI on LinkedInWatch this and other episodes of the Deep Learning pod on YouTube

    What happens when anyone can build an AI agent?

  8. 4月16日

    Why do specialized AI models win in CX?

    Many AI models today are designed as generalists. But in customer experience, that approach often falls short. In this episode of Deep Learning with PolyAI, Nikola Mrkšić sits down with Matt Henderson, VP of Research at PolyAI, to unpack why specialized AI models outperform general-purpose ones in real-world CX environments. They explore the tradeoffs between speed, accuracy, and reasoning, why voice AI requires fundamentally different design decisions, and what makes PolyAI’s Raven 3.5 a step forward. The conversation offers a behind-the-scenes look at what it actually takes to build AI that works in production, not just in demos. Follow PolyAI on LinkedInWatch this and other episodes of the Deep Learning pod on YouTube

    Why do specialized AI models win in CX?
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關於

PolyAI's CEO/co-founder Nikola Mrkšić and team invite guests to candidly discuss trends and tech in AI, voice throughout the enterprise, and nailing the customer experience.

資料

  • 創作者
    Team PolyAI
  • 活躍年份
    2023年 - 2026年
  • 單集
    107
  • 分級
    兒童適宜
  • 版權
    © 2026 Deep Learning with PolyAI
  • 節目網站
    Deep Learning with PolyAI