Beyond Commands: When Your Car Learns to Listen

Beyond Commands: When Your Car Learns to Listen - S2E11

Behind every automotive innovation lies a human story. Hosted by Stéphane Lagresle, founder of The Storytelling Tribe, this podcast reveals how industry leaders translate complex technologies into compelling narratives. Through conversations with automotive executives, discover practical frameworks for making automotive innovations relatable and meaningful. For executives, product leaders, and marketers transforming mobility through better communication.

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The Conversational Cockpit Decoded

We sit down with Jan Wehmeyer, VP Account & Business Lead Europe at Cerence AI, and Frank Kaleck, Director Industry Advisory Automotive at Microsoft, inside a prototype car to explore how voice AI is turning the vehicle into an intelligent partner – and the dashboard into a boardroom.

Key
Insights

Native Voice AI vs. CarPlay: The Data Advantage OEMs Can’t Ignore

Frank Kaleck reveals why automakers are moving beyond Apple CarPlay and Android Auto for their primary voice layer. It’s because a native assistant gives them something a smartphone mirror never can: real insight into what their customers actually want. That data flywheel is becoming a core competitive asset.
The Hybrid AI Architecture Running Inside Your Next Car

Jan Wehmeyer unpacks how Cerence AI pairs a Large Language Model (LLM) in the cloud with a Small Language Model (SLM) on-device, creating a system that handles free-form, multi-intent commands without structured syntax and routes sensitive data locally to protect driver privacy, even without connectivity.
From One-Size-Fits-All to Market-Specific AI Agents

Learn how the combination of Microsoft Azure’s regional data center infrastructure and Cerence AI’s dedicated local teams makes it possible to serve fundamentally different user expectations — China’s high-context, continuous conversation style versus Europe’s preference for brevity — without multiplying vehicle variants or technical complexity.

Key
Takeaways

Lead with use cases, not technology
Before presenting any new capability, anchor it in a specific driver scenario. The technology earns its place once the human problem is clearly visible.
Embed cross-partner teams early in the project
Rather than working in sequential handoffs between OEM, Tier 1, and technology vendors, co-locate dedicated agile teams from day one. The speed and alignment gains are substantial.
Leverage regional teams early
Cultural differences in how people interact with technology are as significant as regulatory ones. Build regional UX adaptation into the project plan from day one, not as a retrofit.
Tailor your AI architecture to your privacy constraints
Not every function needs the cloud. Identifying which capabilities can run on-device reduces data exposure and builds driver trust.

About your guides

Jan Wehmeyer brings nearly a decade of experience building Cerence AI's commercial presence across Europe, having joined the company through its Nuance Communications Automotive roots in 2015. He is currently VP Account & Business Lead Europe, a role focused on translating voice AI capability into OEM partnerships at scale. Frank Kaleck has spent fifteen years at Microsoft watching the company transform from a Windows and Office provider into the cloud backbone of the automotive industry. As Director Industry Advisory Automotive, he works directly with OEMs and Tier 1 suppliers to build vehicle experiences and enterprise-grade in-car productivity on top of Microsoft Azure.

Where Technology Meets Narrative

Under the Hood: Automotive Storytelling uncovers the human narratives driving innovation in an industry that impacts lives worldwide. Hosted by Stéphane Lagresle, this podcast explores how the power of storytelling ultimately connects technology to humans.

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Beyond Commands: When Your Car Learns to Listen