Autology

Hosted by Mobility Global

Business

Website RSS feed

Episodes

100

Latest episode

Oct 2026

Language

About the show

Listen to episodes

60 recent

October 6, 2026Episode 98 min

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

August 25, 2026Episode 814 min

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

August 18, 2026Episode 736 min

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

August 14, 2026Episode 613 min

Supplier Soundbytes: The regulatory road ahead for automotive AI

Artificial intelligence is becoming embedded in automotive retail. It is helping manufacturers and retailers create digital showrooms, personalise customer journeys, support online sales and produce vehicle content at scale. As these applications move closer to the customer, however, a new question is becoming harder to avoid: what happens when AI-generated experiences have to meet a regulatory standard? The EU AI Act brings that question into sharper focus. Its risk-based framework introduces new requirements around transparency, accountability and the use of AI, with implications for companies selling and leasing vehicles to customers in Europe. For automotive businesses, compliance increasingly sits alongside commercial considerations such as customer trust, conversion and brand reputation. Vehicle imagery is one area where the distinction matters. Generative AI can create or modify images quickly, but it can also introduce inaccuracies into representations of products that customers expect to be factual. The alternative is deterministic rendering, which uses official vehicle and configuration data to produce precise digital representations. The choice of technology therefore has implications for transparency, copyright and the customer experience. The wider challenge is how companies can continue to innovate while understanding the technology they are deploying. That means scrutinising AI vendors, auditing digital content supply chains and recognising that responsibility can remain with the business using an AI system, rather than simply its technology provider. Regulation also creates a test of whether AI applications are robust enough for enterprise use. That is the backdrop to the latest Autology episode of Supplier Soundbytes from Mobility Global, featuring Martijn Versteegen, founder and chief executive of IMAGIN.studio. The company provides real-time vehicle visualisation technology, and Martijn discusses what the EU AI Act means in practice for automotive retailers, leasing companies and other businesses building AI into the digital car-buying experience. 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

July 9, 2026Episode 512 min

Supplier Soundbytes with CCO of Covestro: Why cars are becoming material experiences

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. In this episode of Supplier Soundbytes, Mobility Global’s bite-sized Autology podcast series, we explore how innovation is reshaping the future of mobility - and why materials are becoming central to the next phase of automotive transformation. The automotive industry is under pressure from all sides. Automakers must deliver vehicles that are lighter, smarter, safer and more sustainable, while also responding to accelerating electrification, changing customer expectations and the need for more resilient, circular supply chains. These challenges cannot be solved through engineering excellence alone. They require new levels of collaboration across the value chain, earlier engagement between suppliers and OEMs, and fresh thinking about how materials can support performance, design, sustainability and user experience all at once. To discuss these shifts, we are joined by Monique Buch, Chief Commercial Officer at Covestro, a global leader in high-performance polymer materials. Covestro works closely with automotive manufacturers and suppliers to develop advanced material solutions that support vehicle design, durability, safety and lower-carbon production. Monique explains why the industry must move beyond treating lightweighting, sustainability, safety and design as separate priorities. Instead, the greatest opportunities will come from integrated solutions that solve multiple challenges simultaneously. She also discusses what true co-innovation looks like, why suppliers need to be involved earlier in the development process, and how advanced materials are helping redefine the in-vehicle experience - from acoustics and lighting to comfort, touch and perceived quality. Finally, the episode looks ahead to circularity as a business imperative. Monique highlights the need for system-level collaboration across OEMs, suppliers, recyclers and material producers to build future-ready value chains capable of supporting the next generation of mobility. 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

July 8, 2026Episode 311 min

Supplier Soundbytes with HARMAN: AI Orchestration and the Future of Mobility

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. Artificial intelligence has long been a staple of automotive futurism. Yet for much of the past decade, its role in the car was more promise than reality. That is beginning to change. As vehicles become increasingly software-defined, AI is moving from the periphery of the driving experience to its centre, reshaping how motorists interact with their cars and how manufacturers think about value, safety and differentiation. In this Autology episode of Supplier Soundbytes, we explore how AI is transforming the modern cockpit. From natural-language voice assistants and personalised media settings to driver-monitoring systems and predictive navigation, the technology is already helping to reduce friction behind the wheel. But the most important shift may be less visible: the emergence of intelligent systems capable of understanding context, adapting to user needs and coordinating multiple vehicle functions in real time. Joining the discussion is Marcus Futterlieb, Director of Technology Management for AI Orchestration at HARMAN. He argues that the future of automotive AI will not be defined by ever-larger models or more sophisticated chatbots. Rather, success will depend on using the right intelligence for the right task - balancing cloud-based services, embedded software and deterministic systems to deliver experiences that are useful, reliable and affordable. The conversation examines the growing importance of AI orchestration, the challenge of building trust through privacy-conscious design and the opportunities emerging in areas such as driver well-being and personalised vehicle experiences. It also looks ahead to a future in which cars continue to evolve long after leaving the factory, supported by software architectures designed for continuous improvement. The destination is becoming clearer. Drivers are unlikely to care whether a feature is powered by generative AI, machine learning or conventional software. They will simply expect vehicles that understand them better, anticipate their needs and make every journey safer and easier. The race is now on to deliver exactly that. 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

July 8, 2026Episode 412 min

Supplier Soundbytes with MAHLE Powertrain: Many roads to net zero

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. The automotive industry has spent much of the past decade debating a seemingly simple question: what comes after the internal-combustion engine? The answer, it turns out, is proving rather more complicated than many expected. Not long ago, the direction of travel appeared settled. Governments set ambitious targets, manufacturers committed billions to electrification and battery-powered vehicles seemed destined to dominate the roads. Yet reality has been less straightforward. Infrastructure has developed unevenly, consumer demand has varied by region and new questions have emerged about cost, practicality and energy security. As a result, the industry's future increasingly looks less like a race towards a single destination and more like a contest among several competing technologies. In this Autology episode of Supplier Soundbytes, we explore how engineering priorities are shifting in response. Joining us is John Hollingworth, Sales and Marketing Director at MAHLE Powertrain, a company that has deliberately positioned itself as technology-agnostic in an era of rapid change. The discussion ranges widely across the evolving propulsion landscape. We examine the renewed interest in range-extender electric vehicles, the role hydrogen combustion could play in heavy-duty transport and off-highway applications, and the prospects for renewable and synthetic fuels. We also consider a subject that rarely captures headlines but increasingly determines vehicle performance: thermal management, which sits at the heart of everything from battery efficiency to passenger comfort. Beyond powertrains, the conversation explores how automotive engineering itself is changing. As vehicles become more software-defined, connected and continuously updated throughout their lifecycles, testing, validation and development processes are being transformed. The central message is clear. Rather than converging on a single technological winner, the industry may be entering a period of greater diversity. The future of mobility, argues Hollingworth, will depend less on finding one universal solution and more on matching the right technology to the right vehicle, market and use case. 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

July 7, 2026Episode 28 min

Supplier Soundbytes: What it takes to get AI results in automotive

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. In the next phase of automotive competition, the decisive breakthroughs may come not from the showroom or the software stack, but from the materials lab. Artificial intelligence is often discussed as if it were a software story. In automotive engineering, it is becoming something broader and more consequential. It is beginning to change how materials are discovered, how components are tested, how batteries are improved and how manufacturers make decisions under pressure. The car, after all, is not a single invention but a stack of them: atoms, alloys, cells, packs, structures, systems and software, all required to work together at scale, safely and profitably. That multi-layer reality is where AI’s usefulness stops being theoretical. In practice, it is about finding better answers faster across the whole pipeline—turning data into decisions, and decisions into prototypes. That makes vehicle development an unusually fertile ground for AI. Much of engineering still depends on slow cycles of trial, error and expert judgement: make a sample, run a test, interpret the result, adjust the design, and begin again. Simulations help, but they can be expensive and time-consuming. Data exists, but it is often messy, fragmented or collected too late to shape the most important decisions. AI promises to compress some of those cycles. Used well, it can spot patterns in experimental data, suggest better materials, connect manufacturing conditions with performance, and help engineers make earlier, more confident choices. Used badly, it risks becoming another expensive black box. The difference lies less in fashionable algorithms than in disciplined engineering: good data, clear objectives, traceable results and adoption inside real workflows—so the gains show up where production and performance are decided. That is the backdrop to the latest Autology episode of Supplier Soundbytes from Mobility Global, featuring Isaac Squires, founder and chief executive of Polaron. Spun out of Imperial College London, Polaron applies generative machine learning to accelerate the design and optimisation of advanced materials. 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

June 2, 202633 min

The Price of Power: What’s Driving EV Battery Costs?

In this episode of Autology, Rebecca Bellchambers is joined by Ali Adim and Hugo Cruz from S&P Global Mobility's battery research team to unpack one of the most important topics in the EV industry: battery pricing. The discussion explores why batteries remain the biggest cost driver in electric vehicles, how raw material volatility and manufacturing location shape pricing, and what the latest Battquant model reveals about cell and pack cost trends. The episode also examines the impact of lithium price swings, geopolitics, regional policy frameworks in Europe and North America, and how these factors are influencing the path to BEV-ICE parity. The team also looks ahead to the future of LFP and sodium-ion batteries, discussing where further cost reductions may come from and whether new chemistries could reshape the market in the years ahead. Speakers: Ali Adim- Battery Research Manager Hugo Cruz- Principal Battery Research Analyst Rebecca Bellchambers- Host/ Senior Battery Research Analyst We'd love to hear your thoughts on this episode at autology@spglobal.com, and you can find much more at autotechinsight.ihsmarkit.com. Don't forget to subscribe, follow, and like to stay updated with the latest Autology podcasts! hear your thoughts on this episode at autology@spglobal.com, and you can find much more at autotechinsight.ihsmarkit.com. Don't forget to subscribe, follow, and like to stay updated with the latest Autology podcasts!

May 20, 202610 min

Supplier Soundbytes: Carmakers Rethink the Windshield

In the automotive industry, few technologies have spent longer in the "promising but peripheral" category than the head-up display. Yet as vehicles become increasingly software-defined - and as the cockpit itself evolves from a mechanical interface into a digital environment - the humble windshield is beginning to look less like passive glass and more like prime visual real estate. That is the backdrop to this latest episode of Supplier Soundbytes from S&P Global Mobility, featuring Andy Travers, chief executive of Ceres Holographics. The company's proposition is deceptively simple: rather than bolting ever more screens into the dashboard, embed holographic optical films directly into the windshield itself, turning the glass into part of the display architecture. The implications, however, are rather larger than another iteration of the conventional head-up display. Travers argues that legacy HUD systems have reached something close to their functional ceiling, constrained as much by limited user experience as by hardware. The next phase, he suggests, will depend less on projecting more information and more on deciding which information matters — and when. The conversation ranges from the misuse of the term "holographic" to the practical realities of integrating optical films into automotive glass supply chains. But beneath the technical detail sits a broader strategic question for carmakers: if the windshield becomes a dynamic digital surface, who controls the value - the optics specialists enabling the display, or the software platforms determining the experience? For OEMs, the message is clear. The technology may now be ready. The industry's imagination, perhaps, is still catching up. Andy Travers [Source: Ceres Holographics] We'd love to hear your thoughts on this episode. Reach out to us at autology@spglobal.com , and discover more insights at autotechinsight.spglobal.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

Is this your show?

Claim this listing to keep it up to date, reach guests who want to pitch you, and manage bookings with Guestify.

Claim this listing

More Business podcasts

The Bottom Line

Alexander Spencer

BusinessInterviews guests