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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.

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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.

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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.

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