Deep Learning with PolyAI

Team PolyAI
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  • Новости технологий
  • Еженедельно

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. Is AI the end of large engineering teams?

    25 июн.

    Is AI the end of large engineering teams?

    Send us Fan Mail 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

    46 мин.
  2. Can you build a custom AI agent in 10 minutes?

    14 мая

    Can you build a custom AI agent in 10 minutes?

    Send us Fan Mail 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

    23 мин.
  3. What happens when anyone can build an AI agent?

    23 апр.

    What happens when anyone can build an AI agent?

    Send us Fan Mail 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

    40 мин.
  4. Why do specialized AI models win in CX?

    16 апр.

    Why do specialized AI models win in CX?

    Send us Fan Mail 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

    24 мин.
  5. Why are CX leaders stuck on the sidelines of AI?

    9 апр.

    Why are CX leaders stuck on the sidelines of AI?

    Send us Fan Mail In this episode of Deep Learning with PolyAI, Nikola Mrkšić sits down with Bill Staikos, Founder of Be Customer Led, to unpack why many CX leaders are still on the sidelines of the AI conversation — and what that means for the future of the function. They explore how AI is reshaping the “interaction layer” of customer experience, why traditional CX metrics like NPS are no longer enough, and how leading organizations are starting to tie CX directly to revenue, cost, and risk. The conversation challenges CX leaders to think bigger and make their function into an outcome-driven engine for business growth. In an AI-driven world, the leaders who understand that shift will have a much bigger role to play. Follow PolyAI on LinkedInWatch this and other episodes of the Deep Learning pod on YouTube

    37 мин.
  6. How can employee experience drive better CX? with Sam Stern, LinkedIn

    2 апр.

    How can employee experience drive better CX? with Sam Stern, LinkedIn

    Send us Fan Mail Customer experience is often measured at the surface. But it’s built behind the scenes. In this episode of Deep Learning with PolyAI, Michelle Schroeder sits down with Sam Stern, who leads service design at LinkedIn, to explore how employee experience shapes every customer interaction. They discuss how LinkedIn is improving CX by fixing the systems employees rely on — from reducing “toggle tax” across tools to giving teams better data and real-time guidance with AI. The result is not just faster service, but more meaningful, higher-quality interactions when it matters most. Follow PolyAI on LinkedInWatch this and other episodes of the Deep Learning pod on YouTube

    20 мин.
  7. Is Faster Always Better in Customer Experience?

    19 мар.

    Is Faster Always Better in Customer Experience?

    Send us Fan Mail In this episode of Deep Learning with PolyAI, Michelle Schroeder sits down with Nate Brown, Head of Education and Enablement at Metric Sherpa and cofounder of CX Accelerator, to discuss how AI is reshaping the way companies think about customer experience. Nate shares a framework that’s gaining traction with CX leaders: make the quick parts quick, and make the slow parts meaningful. Automation should remove friction and resolve routine problems quickly, but the moments that matter most still require guidance, empathy, and human connection. Together they explore how organizations can use AI to reduce effort for customers while still creating experiences that build loyalty, trust, and long-term value. Follow PolyAI on LinkedInWatch this and other episodes of the Deep Learning pod on YouTube

    24 мин.
  8. The History of Restaurant CX: From Maître d' to AI

    12 мар.

    The History of Restaurant CX: From Maître d' to AI

    Send us Fan Mail In this episode of Deep Learning with PolyAI, Nikola Mrkšić sits down with Steven Fine, GM of Restaurants at PolyAI, to explore how technology has shaped the customer experience in restaurants over the past century. From the first phone reservations to online booking platforms and now AI-powered voice agents, the conversation traces how hospitality has continuously adapted to meet changing customer expectations. Nikola and Steven discuss why the phone is still one of the most important touchpoints in the restaurant journey, how missed calls translate into lost revenue, and how AI is helping restaurants capture demand while improving both staff and guest experience. Along the way, they explore no-shows, loyalty programs, large party bookings, and why voice AI is becoming a new revenue engine for the hospitality industry. Follow PolyAI on LinkedInWatch this and other episodes of the Deep Learning pod on YouTube

    45 мин.
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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.

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  • Автор
    Team PolyAI
  • Годы выхода
    2023 - 2026
  • Выпуски
    103
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    Без ненормативной лексики
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    © 2026 Deep Learning with PolyAI
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