Autology

About Autology

Autology is a podcast series from Mobility Global (formerly S&P Global Mobility), bringing you key intelligence from across the automotive supply chain. Autology features interviews with supply chain executives and Mobility Global experts to help you stay on top of the trends you need to know — and the decisions you need to make — in the near future.

Publisher

Mobility Global

Category

technology

Language

en

Explicit

No

First episode

17 Jan 2022

Latest episode

6 Oct 2026

Latest episodes

101 episodes in the feed.

1. 

   6 Oct 2026

   Supplier Soundbytes: How Gen AI Is Rewriting the Automotive Buying Journey

   In this episode of Autology’s Supplier Soundbytes, Jens-Peter Sjöberg, CTO and Founder of Phyron, explores how generative AI is reshaping the automotive buying journey. Phyron uses AI to turn standard vehicle images and data into engaging, professional marketing videos at scale - helping automotive businesses create more personalised and compelling digital experiences. His central message: AI’s biggest opportunity isn’t automation - it’s creating more personalised, human and emotionally engaging experiences. JP argues that Gen AI can move automotive retail beyond one-size-fits-all vehicle presentation. By using customer data and behavioural insights, AI can tailor how vehicles are presented to individual buyers - connecting a car with their personality, lifestyle and aspirations. Drawing inspiration from Hollywood storytelling, he sees AI enabling brands to create richer digital experiences that resonate emotionally, rather than listing product features. Looking ahead, JP expects AI to influence virtually every customer touchpoint, from discovery and consideration through to post-purchase engagement. The key takeaway for automotive businesses? Don’t focus on a single AI solution. Step back, examine the entire customer journey, identify where AI can improve the experience, and educate yourself on what your organisation genuinely needs. The opportunity lies in taking a holistic view - not solving one piece of the puzzle in isolation. Jens-Peter Sjöberg [Source: Phyron] We’d love to hear your thoughts on this episode. Reach out to us at autology@mobilityglobal.com. Don’t forget to hit the subscribe, follow, and like buttons to stay updated with the latest episodes of Autology. Subscribe: Apple Podcasts Spotify

2. 

   25 Aug 2026

   Supplier Soundbytes: What it takes to build AI that automotive can trust

   Artificial intelligence is moving quickly from experimentation into the everyday operation of fleets and vehicles. It is being used to improve driver safety, detect collisions, support predictive maintenance, reduce downtime and turn huge volumes of connected-vehicle data into decisions. But as AI becomes more deeply embedded in automotive, the question is shifting from what it can do to whether its results are reliable enough to trust. That makes the gap between an impressive demonstration and a useful product increasingly important. In the real world, AI has to cope with unpredictable conditions, different vehicles, environments and driver behaviours. A false positive or delayed result can do more than reduce model performance—it can undermine customer confidence and prevent adoption. The challenge is therefore to build AI around meaningful business problems, with reliability treated as a product requirement rather than a technical detail. Data is central to that challenge. Large datasets alone do not guarantee better AI. Models need sufficient breadth, depth and fidelity, while training data must reflect the different geographies, climates, vehicle types and operating conditions in which they will be used. Data quality also needs to evolve continuously, with real-world customer feedback helping teams identify weaknesses and improve models over time. Bias is another consideration. Blind spots can emerge when certain customer groups, fleet types or operating environments are poorly represented in the data. Addressing this requires diverse perspectives during product development, explicit auditing and consideration of potential sources of bias before AI reaches customers. Privacy and responsible AI also need to be built into products from the outset. The wider question is how businesses balance the speed of AI innovation with accuracy, transparency and consistency. Customer involvement, real-world testing and measures such as precision and recall can help ensure that AI delivers dependable results. The priority is not necessarily more AI features, but better ones that solve genuine problems and earn trust. Looking ahead, opportunities include predictive maintenance, faster vehicle repair, autonomous vehicles and combining fleet intelligence with wider business data to improve decision-making. Human judgement will remain important, providing the context that AI alone cannot. That is the backdrop to the latest Autology episode of Supplier Soundbytes from Mobility Global, featuring Sabina Martin, Vice President of Product Management at Geotab. Geotab is a global connected vehicle and telematics company, and Sabina discusses what it takes to build AI that delivers reliable results at scale—and why data quality, responsible development and customer trust are fundamental to making automotive AI work in the real world. We’d love to hear your thoughts on this episode. Reach out to us at autology@mobilityglobal.com. Don’t forget to hit the subscribe, follow, and like buttons to stay updated with the latest episodes of Autology. Subscribe: Apple Podcasts Spotify

3. 

   18 Aug 2026

   Panel Podcast: China Speed – Can the West Keep Up?

   China’s automotive industry is moving at a pace that is reshaping the competitive landscape, with Chinese OEMs increasingly able to turn ideas into vehicles, scale production and respond to changing customer needs in a fraction of the time taken by many Western manufacturers. But what sits behind this China speed? Is it simply faster engineering, or does it reflect a fundamentally different approach to data, AI, collaboration and decision-making? In this episode of Mobility Global’s Autology podcast series, we bring together three experts to explore what the West can learn from China’s accelerating automotive ecosystem. Hanno Focken, Managing Director, Activation, Governance and Operations at Catena-X, looks at the role of trusted data exchange and collaboration across complex supply chains. Isaac Squires, CEO and Founder of Polaron, explores how generative AI and machine learning can move beyond isolated pilots to become embedded in everyday engineering and innovation. Ben Townsend, Head of Automotive at Thatcham Research, brings a focus on safety, repairability, real-world data and the need to ensure that greater speed continues to deliver better consumer outcomes. The speakers have already shared some interesting insights on China Speed through our recent one-to-one conversations on Auto Tech Insights. Those conversations are now available as Q&As to download from our platform: Hanno Focken – China Speed Q&A Isaac Squires – China Speed Q&A Ben Townsend – China Speed Q&A In this episode, we take those conversations a step further, exploring what China Speed really means, where that competitive advantage comes from, and how the Western automotive industry can respond. The discussion challenges the idea that Western automotive companies lack the engineering capability to compete. Instead, the panel identifies organisational complexity, hierarchy, fragmented data, legacy processes and misaligned incentives as major sources of friction. China’s advantage, they argue, is less about engineering faster in isolation and more about learning, making decisions and coordinating across organisational boundaries at speed. Looking ahead five years, the panel considers what a realistic Western version of China speed could look like: faster learning cycles, interoperable data ecosystems, greater autonomy for engineering teams, continuous software-enabled product improvement and stronger use of AI and real-world data. The central message is clear: competing on speed is not about abandoning discipline but about removing unnecessary friction while preserving the rigour needed for safety, quality and trust. We’d love to hear your thoughts on this episode. Reach out to us at autology@mobilityglobal.com Don’t forget to hit the subscribe, follow, and like buttons to stay updated with the latest episodes of Autology. Subscribe: Apple Podcasts Spotify

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