An agenda built through deep collaboration with our community to ensure every session delivers substance over soundbites. You’ll hear from true subject matter leaders via candid case studies, collaborative roundtables, and varied panel discussions —providing clarity on what’s driving success across the automotive landscape.
This interview will be moderated by a Reuters journalist under the Reuters Trust Principles
Analog Devices - The automotive industry has spent the last decade building software-defined vehicles. The next decade will be shaped by intelligence-defined ecosystems: connected networks of vehicles, enterprises, and partners that continuously sense, learn, adapt, and create value grounded in the physical world.
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In this keynote, Yasmine King will challenge automotive leaders to look beyond individual technology debates and consider a more fundamental question: how can organizations recognize structural change early enough to adapt?
Â
Through examples spanning contextual experiences, prognostics, edge intelligence, and connectivity, she will explore how intelligence can improve experiences, reliability, decision-making, and lifecycle value across vehicles, enterprises, and the broader ecosystem.
The session will also examine why intelligence cannot scale through technology alone. Building intelligence-defined ecosystems requires trusted data, adaptive architectures, and ecosystem collaboration.
Yasmine King, Corporate Vice President, Head of Automotive Business Unit, Analog Devices
• Close the speed-to-market gap with next-gen operating models by breaking down silos and adopting faster, software-centric development to compete with Chinese OEMs building vehicles in half the time
• Turn SDV complexity into a competitive advantage by leveraging AI, data, and ecosystem partnerships to deliver differentiated experiences while controlling cost and risk
• Protect profitability in the transition to SDVs by balancing software innovation with affordability pressures, supply chain volatility, and rising development costs
Ramiro Gutierrez, President of North America, ZF Group
Abe Yacobian, Vice President & Head of Corporate Development & Strategic Initiatives, Americas, Mercedes-Benz
Royston Jones - Global Head of Automotive & Transportation, Siemens Digital Industries Software
Aftermarket is one of the biggest profitability levers in automotive, but capturing it is getting harder. 70% of B2B buyers now prefer to purchase online, expecting speed, transparency, and convenience, but when genuine parts aren't easy to order digitally, buyers go to whoever makes it easiest, including non-genuine alternatives. And the damage goes beyond parts: a frustrating service experience makes customers less likely to buy their next vehicle from you. In this hands-on session, you'll stress-test your own parts buying experience against a real buyer scenario, benchmark against peers, and see how leading manufacturers built digital platforms that empower dealers and grow revenue. You'll walk away with:
• A clear view of where your parts revenue is leaking today, and why you can't see it.
• A practical framework to move from dealer locator to digital commerce, without channel conflict.
• A readiness check for the next shift in B2B buying: AI-driven procurement.
Kamal Kirpalani, Chief Revenue Officer for B2B, Mirakl
Henri Vallet, VP, Aftermarket, Manufacturing and Distribution, Mirakl
From Visibility to Velocity: Building the Decision-Intelligent Supply Chain Control Room - Hosted by Genpact
• Transform signals into better decisions: Unite fragmented data from suppliers, plants, logistics, planning, and customers within an AI-powered Control Room that converts real-time signals into enterprise-wide priorities and decisions.
• Move beyond visibility to decision intelligence: Combine predictive insights, root-cause analysis, scenario evaluation, and guided recommendations to help teams understand what happened, why it matters, and what action to take next.
• Create better outcomes through coordinated execution: Enable cross-functional teams to detect risks earlier, decide faster, and act with confidence—improving resilience, customer service, cost, and profitability.
• Overcome perceptions that EVs compromise on performance by showcasing instant torque and agile control to expand its appeal to your customer base.
• Expand beyond superior performance and tech forward features to deliver a tranquil driving experience valued by car buyers through advancements in hardware technologies
• Elevate the sought after tranquil driving experience with advanced automation and intuitive smart features
Â
Chris Lockett, SVP Castrol Technology, Castrol ON
• Align silicon, OS, middleware, and applications into a unified stack to eliminate fragmentation and enable consistent performance across vehicle platforms
• Accelerate software deployment and validation by leveraging virtual environments, AI-enabled simulation, and cloud-native development to reduce costly late-stage rework
• Future-proof your architecture for continuous upgrades by building flexible, service-oriented layers that support OTA, AI integration, and evolving customer demands without redesigning the vehicle
Neural concept
Rising costs are putting pressure on household budgets around the world, and vehicles are no exception. Higher vehicle prices and fuel costs are making affordability an increasing concern for consumers and a growing challenge for the automotive industry. This session explores the affordability pressures affecting consumers across major markets and examines how these trends are influencing the industry. Drawing on perspectives from the US, France and Mexico, the discussion will also consider the growing presence of Chinese automakers and the impact of increased competition on markets around the world.
Â
Alexandre Parente, Head of Advisory, Jato
Luis Brizuela, Director, Americas, Jato
• Discover how advancements in sensing architectures are offering distinct advantages in terms of simplified integration and cost optimization, and enhanced environmental awareness.
• Discuss whether to adopt edge AI or centralized compute architectures for real-time data processing.
• Learn about the new opportunities opened by intelligent chassis systems in the autonomous driving sector.
Â
Humam M. Alwan, Global Reactive Problem-Solving Program Management Lead, Stellantis
Michael Crabtree, Director, Data Engineering, Ford
Jennifer Morrison, Director, Vehicle Safety Strategy, Mazda
Mark Ng, Director of Automotive Systems, Texas Instruments
• Explore how to monetize features-as-a-service, over-the-air updates and personalised in-cabin experiences to generate subscription revenues that sustain OEM profitability long after the initial sale
• Close the smartphone-to-cockpit experience gap with AI-enabled personalization to build brand loyalty that insulates against competitors selling equivalent vehicles at cheaper prices
• Explore how open API standards, in-car payment systems and personalised feature unlocks can transform the vehicle from a one-time transaction into a long-term revenue-generating platform
MediaTek
The automotive industry is entering a new phase of AI/machine learning (ML) and automation. The question for manufacturers serving the automotive, tire, and battery markets is no longer whether to adopt, but how quickly and where to put smart manufacturing to work. The drivers are clear: more complex production environments, persistent warranty issues, rising commodity costs and global competition are leaving less room for late-stage fixes and reactive management. Join this session and understand how the emphasis is shifting toward combining these technology tools to generate measurable gains in throughput, productivity, and process consistency and explore how AI/ML is increasingly how manufacturers are unlocking the full value of their automation investment.
Rockwell Automation
In a world of continuous disruption, trusted, connected data delivered in real-time is a must. Detecting risk early and running scenarios quickly to mitigate disruption is needed more than ever. Panellists will explore:
• How advanced technology and AI enable faster, more trusted decisions at scale
• How to deliver the leading indicators and supply chain narrative that secures investment in infrastructure and manages external shocks
• How to close the visibility gap between procurement intent and what is happening across your supplier network.
Mike Wall, Executive Director of Automotive Analysis, Mobility Global
Neil Marsons, Chief Supply Chain Officer, Lucid Motors
Moderator – Anne Partington, Managing Director & Head of Industry Partnerships, University of Michigan
The automotive industry is entering a new phase of AI/machine learning (ML) and automation. The question for manufacturers serving the automotive, tire, and battery markets is no longer whether to adopt, but how quickly and where to put smart manufacturing to work. The drivers are clear: more complex production environments, persistent warranty issues, rising commodity costs and global competition are leaving less room for late-stage fixes and reactive management. Join this session and understand how the emphasis is shifting toward combining these technology tools to generate measurable gains in throughput, productivity, and process consistency and explore how AI/ML is increasingly how manufacturers are unlocking the full value of their automation investment.
Rockwell Automation
• Solve the fragmented, multi-ECU legacy architecture that forces OEMs to validate dozens of interdependent systems for every single change, slowing development cycles and inflating costs
• Examine how centralised compute platforms and service-oriented architecture are enabling OEMs to compress vehicle development timelines and close the gap on competitors who design vehicles in half the time
• Accelerate the shift to a standardised SDV backbone so OEMs can deploy over-the-air updates, reduce warranty costs, and bring new features to market without requiring a dealer visit
Pavankumar Surabathula, Head of Platform Products - MNO, Data & Remote Ops, Stellantis
Keefe Leung, Director of Software Defined Systems Architecture, Karma Automotive
Krishna Kommineni, Engineering Group Manager, General Motors
Moderator: Scotty ReisÂ
Ascentt and Toyota North America examine how AI and agentic AI are shifting manufacturing and supply chains from automated execution to autonomous decision-making.
Â
The session will:
• Trace the evolution from highly automated plants to AI-native, lights-out-capable manufacturing.
• Explore how agentic AI and decision automation can build self-healing supply chains that detect, decide and adapt within defined guardrails, without waiting for human escalation.
• Examine why lights-out manufacturing is fundamentally a decision problem before it is a robotics problem, and why trust remains the hardest constraint.Â
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Nilesh Vyas, CEO, Ascentt
Toyota
AI is moving off the screen and into the physical world. In vehicles, factories, and across everything that moves, intelligence now has to sense, decide, and act in real time, often in places a best effort connection was never built to serve. This shift, physical AI, is where the next wave of value sits for automakers, and it is also where the gap between a promising pilot and a production reality gets exposed. This closed door roundtable brings a small group of automotive leaders together to work through a practical question: what does it actually take to run physical AI at scale? We will get into how connectivity and compute work together, what edge inference and real time decisioning demand of the network, and the journey from where OEMs sit today to where the market is heading. The conversation is candid and outcome focused, built to surface where to start now rather than to sell a finished answer.
Dave Cohen, Director of IoT, T-Mobile
Matthew Feider, Sr Manager of AI Business Development, T-Mobile
Moe Beydoun, Sr Director of Sales Specialists, T-Mobile
• Transforming market intelligence into competitive advantage through AI systems that synthesize global competitor moves, regional demand shifts, and pricing patterns
• Align strategy to execution quickly by pushing insights directly into planning, sourcing, and commercial workflows—reducing decision latency across regions and product lines.
Kristen Balasia, SVP of Planning Solutions, Mobility Global
LIVE POLL: A live poll will take place before the panel with the audience, giving visibility to attendees’ thoughts on the emerging competition in the automotive sector. The panel will then discuss the live results and proceed to a discussion of the topic.
• Defend market share against faster, lower-cost global entrants by understanding where legacy OEMs are structurally disadvantaged on speed, cost, and user experience to win through scale, brand, and engineering heritage
• Balance short-term profitability with long-term portfolio transformation by aligning EV, ICE, and hybrid strategies to shifting demand, affordability pressures, and infrastructure realities without overexposing the business to stranded investments
• Turn geopolitical disruption into a competitive lever by navigating tariffs, localisation pressures, and supply chain fragmentation while using partnerships and regional strategies to control costs and maintain global competitiveness
Marques McCammon, CEO, Karma Automotive
Steven Warrick, Vice President of Product Management, Volkswagen
Ganesh Iyer, CEO, NIO USA Inc
Moderator: Jan Griffiths, Podcast Host, Automotive Leaders Podcast
• Move beyond autonomous talk to examine how OEMs, AV developers and technology partners are commercialising autonomous capabilities today, from Level 2+ and Level 3 systems to geo-fenced autonomy and fleet applications.
• Explore viable business models for autonomy including premium feature unlocks, subscription-based ADAS, and mobility-as-a-service partnerships and how they are generating revenue while managing cost, liability and regulatory complexity.
• Understand the critical enablers for scaling deployment, from AI compute and sensor fusion to cloud, edge and data infrastructure, and how strategic partnerships across the ecosystem are accelerating time-to-market and unlocking competitive advantage.
Motional
Ford
Moderator: Auto Harvets
• Separate AI-driven innovation from industry hype by examining which in-vehicle applications are market-ready today versus years away, helping decision-makers invest with confidence rather than caution.
• Unlock new revenue streams and cost efficiencies through AI-powered features from predictive maintenance and autonomous driving to personalised in-cabin experiences reducing warranty costs while increasing customer lifetime value
• Operationalize AI across the software-defined vehicle stack by integrating cloud, edge and data platforms to deliver faster feature rollouts, continuous upgrades and scalable software-led revenue growth.
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Sharmishta Roy, Director Software & Data Engineering, Ford
Sabrina Yuan, Sr. Director, Rivian and Volkswagen Group Technologies
Abhijit Nikhade Product and Architecture, Ford
• Develop a pragmatic, phased automation roadmap aligned to plant footprint, model mix transitions, platform consolidation, and capital cycles so programmes land on time and scale rather than stall in pilot mode
• Build production systems by embedding flexible automation that absorbs demand volatility, labour constraints, and supply‑chain disruption without compromising takt time or quality
• Unlock cross‑plant efficiency gains by standardising automation architectures, data models, and accelerate enterprise‑wide deployment
Rajeev Kalamdani, Director, Manufacturing & IIoT Analytics, Ford Motor Company
This presentation will explore how OEMs can prioritize features that enhance the drive, solve meaningful in-vehicle needs, and reinforce the brand. Through real-world examples, the session will challenge the industry to look beyond feature count and ask whether each technology creates enough customer value to justify its cost, complexity, and place in the vehicle.
Mel Roberts, Director, North America Infotainment & Feature Planning, Stellantis
This interview will be moderated by a Reuters journalist under the Reuters Trust Principles
Analog Devices - The automotive industry has spent the last decade building software-defined vehicles. The next decade will be shaped by intelligence-defined ecosystems: connected networks of vehicles, enterprises, and partners that continuously sense, learn, adapt, and create value grounded in the physical world.
Â
In this keynote, Yasmine King will challenge automotive leaders to look beyond individual technology debates and consider a more fundamental question: how can organizations recognize structural change early enough to adapt?
Â
Through examples spanning contextual experiences, prognostics, edge intelligence, and connectivity, she will explore how intelligence can improve experiences, reliability, decision-making, and lifecycle value across vehicles, enterprises, and the broader ecosystem.
Â
The session will also examine why intelligence cannot scale through technology alone. Building intelligence-defined ecosystems requires trusted data, adaptive architectures, and ecosystem collaboration.
Â
Yasmine King, Corporate Vice President, Head of Automotive Business Unit, Analog Devices
• Close the speed-to-market gap with next-gen operating models by breaking down silos and adopting faster, software-centric development to compete with Chinese OEMs building vehicles in half the time
• Turn SDV complexity into a competitive advantage by leveraging AI, data, and ecosystem partnerships to deliver differentiated experiences while controlling cost and risk
• Protect profitability in the transition to SDVs by balancing software innovation with affordability pressures, supply chain volatility, and rising development costs
Ramiro Gutierrez, President of North America, ZF Group
Abe Yacobian, Vice President & Head of Corporate Development & Strategic Initiatives, Americas, Mercedes-Benz
Royston Jones - Global Head of Automotive & Transportation, Siemens Digital Industries Software
• Overcome perceptions that EVs compromise on performance by showcasing instant torque and agile control to expand its appeal to your customer base.
• Expand beyond superior performance and tech forward features to deliver a tranquil driving experience valued by car buyers through advancements in hardware technologies
• Elevate the sought after tranquil driving experience with advanced automation and intuitive smart features
Â
Chris Lockett, SVP Castrol Technology, Castrol ON
• Transforming market intelligence into competitive advantage through AI systems that synthesize global competitor moves, regional demand shifts, and pricing patterns
• Align strategy to execution quickly by pushing insights directly into planning, sourcing, and commercial workflows—reducing decision latency across regions and product lines.
Kristen Balasia, SVP of Planning Solutions, Mobility Global
LIVE POLL: A live poll will take place before the panel with the audience, giving visibility to attendees’ thoughts on the emerging competition in the automotive sector. The panel will then discuss the live results and proceed to a discussion of the topic.
Â
• Defend market share against faster, lower-cost global entrants by understanding where legacy OEMs are structurally disadvantaged on speed, cost, and user experience to win through scale, brand, and engineering heritage
• Balance short-term profitability with long-term portfolio transformation by aligning EV, ICE, and hybrid strategies to shifting demand, affordability pressures, and infrastructure realities without overexposing the business to stranded investments
• Turn geopolitical disruption into a competitive lever by navigating tariffs, localisation pressures, and supply chain fragmentation while using partnerships and regional strategies to control costs and maintain global competitiveness
Marques McCammon, CEO, Karma Automotive
Steven Warrick, Vice President of Product Management, Volkswagen
Ganesh Iyer, CEO, NIO USA Inc
Moderator: Jan Griffiths, Podcast Host, Automotive Leaders Podcast
• Move beyond autonomous talk to examine how OEMs, AV developers and technology partners are commercialising autonomous capabilities today, from Level 2+ and Level 3 systems to geo-fenced autonomy and fleet applications.
• Explore viable business models for autonomy including premium feature unlocks, subscription-based ADAS, and mobility-as-a-service partnerships and how they are generating revenue while managing cost, liability and regulatory complexity.
• Understand the critical enablers for scaling deployment, from AI compute and sensor fusion to cloud, edge and data infrastructure, and how strategic partnerships across the ecosystem are accelerating time-to-market and unlocking competitive advantage.
Â
Motional
Ford
Moderator:Â Auto Harvest
• Align silicon, OS, middleware, and applications into a unified stack to eliminate fragmentation and enable consistent performance across vehicle platforms
• Accelerate software deployment and validation by leveraging virtual environments, AI-enabled simulation, and cloud-native development to reduce costly late-stage rework
• Future-proof your architecture for continuous upgrades by building flexible, service-oriented layers that support OTA, AI integration, and evolving customer demands without redesigning the vehicle
Â
Neural concept
• Discover how advancements in sensing architectures are offering distinct advantages in terms of simplified integration and cost optimization, and enhanced environmental awareness.
• Discuss whether to adopt edge AI or centralized compute architectures for real-time data processing.
• Learn about the new opportunities opened by intelligent chassis systems in the autonomous driving sector.
Humam M. Alwan, Global Reactive Problem-Solving Program Management Lead, Stellantis
Michael Crabtree, Director, Data Engineering, Ford
Jennifer Morrison, Director, Vehicle Safety Strategy, Mazda
Mark Ng, Director of Automotive Systems, Texas Instruments
• Explore how to monetize features-as-a-service, over-the-air updates and personalised in-cabin experiences to generate subscription revenues that sustain OEM profitability long after the initial sale
• Close the smartphone-to-cockpit experience gap with AI-enabled personalization to build brand loyalty that insulates against competitors selling equivalent vehicles at cheaper prices
• Explore how open API standards, in-car payment systems and personalised feature unlocks can transform the vehicle from a one-time transaction into a long-term revenue-generating platform
Â
MediaTek
The automotive industry is entering a new phase of AI/machine learning (ML) and automation. The question for manufacturers serving the automotive, tire, and battery markets is no longer whether to adopt, but how quickly and where to put smart manufacturing to work. The drivers are clear: more complex production environments, persistent warranty issues, rising commodity costs and global competition are leaving less room for late-stage fixes and reactive management. Join this session and understand how the emphasis is shifting toward combining these technology tools to generate measurable gains in throughput, productivity, and process consistency and explore how AI/ML is increasingly how manufacturers are unlocking the full value of their automation investment.
Rockwell Automation
• Solve the fragmented, multi-ECU legacy architecture that forces OEMs to validate dozens of interdependent systems for every single change, slowing development cycles and inflating costs
• Examine how centralised compute platforms and service-oriented architecture are enabling OEMs to compress vehicle development timelines and close the gap on competitors who design vehicles in half the time
• Accelerate the shift to a standardised SDV backbone so OEMs can deploy over-the-air updates, reduce warranty costs, and bring new features to market without requiring a dealer visit
Â
Pavankumar Surabathula, Head of Platform Products - MNO, Data & Remote Ops, Stellantis
Keefe Leung, Director of Software Defined Systems Architecture, Karma Automotive
Krishna Kommineni, Engineering Group Manager, General Motors
Moderator: Scotty Reis
Rising costs are putting pressure on household budgets around the world, and vehicles are no exception. Higher vehicle prices and fuel costs are making affordability an increasing concern for consumers and a growing challenge for the automotive industry. This session explores the affordability pressures affecting consumers across major markets and examines how these trends are influencing the industry. Drawing on perspectives from the US, France and Mexico, the discussion will also consider the growing presence of Chinese automakers and the impact of increased competition on markets around the world.
Â
Alexandre Parente, Head of Advisory, Jato
Luis Brizuela, Director, Americas, Jato
In a world of continuous disruption, trusted, connected data delivered in real-time is a must. Detecting risk early and running scenarios quickly to mitigate disruption is needed more than ever. Panellists will explore:
Â
• How advanced technology and AI enable faster, more trusted decisions at scale
• How to deliver the leading indicators and supply chain narrative that secures investment in infrastructure and manages external shocks
• How to close the visibility gap between procurement intent and what is happening across your supplier network.
Â
Mike Wall, Executive Director of Automotive Analysis, Mobility Global
Neil Marsons, Chief Supply Chain Officer, Lucid Motors
Moderator – Anne Partington, Managing Director & Head of Industry Partnerships, University of Michigan
The automotive industry is entering a new phase of AI/machine learning (ML) and automation. The question for manufacturers serving the automotive, tire, and battery markets is no longer whether to adopt, but how quickly and where to put smart manufacturing to work. The drivers are clear: more complex production environments, persistent warranty issues, rising commodity costs and global competition are leaving less room for late-stage fixes and reactive management. Join this session and understand how the emphasis is shifting toward combining these technology tools to generate measurable gains in throughput, productivity, and process consistency and explore how AI/ML is increasingly how manufacturers are unlocking the full value of their automation investment.
Rockwell Automation
Ascentt and Toyota North America examine how AI and agentic AI are shifting manufacturing and supply chains from automated execution to autonomous decision-making.
Â
The session will:
• Trace the evolution from highly automated plants to AI-native, lights-out-capable manufacturing.
• Explore how agentic AI and decision automation can build self-healing supply chains that detect, decide and adapt within defined guardrails, without waiting for human escalation.
• Examine why lights-out manufacturing is fundamentally a decision problem before it is a robotics problem, and why trust remains the hardest constraint.Â
Â
Nilesh Vyas, CEO, Ascentt
ToyotaÂ
• Separate AI-driven innovation from industry hype by examining which in-vehicle applications are market-ready today versus years away, helping decision-makers invest with confidence rather than caution.
• Unlock new revenue streams and cost efficiencies through AI-powered features from predictive maintenance and autonomous driving to personalised in-cabin experiences reducing warranty costs while increasing customer lifetime value
• Operationalize AI across the software-defined vehicle stack by integrating cloud, edge and data platforms to deliver faster feature rollouts, continuous upgrades and scalable software-led revenue growth.
Â
Sharmishta Roy, Director Software & Data Engineering, Ford
Sabrina Yuan, Sr. Director, Rivian and Volkswagen Group Technologies
Abhijit Nikhade Product and Architecture, Ford
This presentation will explore how OEMs can prioritize features that enhance the drive, solve meaningful in-vehicle needs, and reinforce the brand. Through real-world examples, the session will challenge the industry to look beyond feature count and ask whether each technology creates enough customer value to justify its cost, complexity, and place in the vehicle.
Mel Roberts, Director, North America Infotainment & Feature Planning, Stellantis
• Develop a pragmatic, phased automation roadmap aligned to plant footprint, model mix transitions, platform consolidation, and capital cycles so programmes land on time and scale rather than stall in pilot mode
• Build production systems by embedding flexible automation that absorbs demand volatility, labour constraints, and supply‑chain disruption without compromising takt time or quality
• Unlock cross‑plant efficiency gains by standardising automation architectures, data models, and accelerate enterprise‑wide deployment
Â
Rajeev Kalamdani, Director, Manufacturing & IIoT Analytics, Ford Motor Company
Aftermarket is one of the biggest profitability levers in automotive, but capturing it is getting harder. 70% of B2B buyers now prefer to purchase online, expecting speed, transparency, and convenience, but when genuine parts aren't easy to order digitally, buyers go to whoever makes it easiest, including non-genuine alternatives. And the damage goes beyond parts: a frustrating service experience makes customers less likely to buy their next vehicle from you. In this hands-on session, you'll stress-test your own parts buying experience against a real buyer scenario, benchmark against peers, and see how leading manufacturers built digital platforms that empower dealers and grow revenue. You'll walk away with:
• A clear view of where your parts revenue is leaking today, and why you can't see it.
• A practical framework to move from dealer locator to digital commerce, without channel conflict.
• A readiness check for the next shift in B2B buying: AI-driven procurement.
Kamal Kirpalani, Chief Revenue Officer for B2B, Mirakl
Henri Vallet, VP, Aftermarket, Manufacturing and Distribution, Mirakl
From Visibility to Velocity: Building the Decision-Intelligent Supply Chain Control Room - Hosted by Genpact
• Transform signals into better decisions: Unite fragmented data from suppliers, plants, logistics, planning, and customers within an AI-powered Control Room that converts real-time signals into enterprise-wide priorities and decisions.
• Move beyond visibility to decision intelligence: Combine predictive insights, root-cause analysis, scenario evaluation, and guided recommendations to help teams understand what happened, why it matters, and what action to take next.
• Create better outcomes through coordinated execution: Enable cross-functional teams to detect risks earlier, decide faster, and act with confidence—improving resilience, customer service, cost, and profitability.
AI is moving off the screen and into the physical world. In vehicles, factories, and across everything that moves, intelligence now has to sense, decide, and act in real time, often in places a best effort connection was never built to serve. This shift, physical AI, is where the next wave of value sits for automakers, and it is also where the gap between a promising pilot and a production reality gets exposed. This closed door roundtable brings a small group of automotive leaders together to work through a practical question: what does it actually take to run physical AI at scale? We will get into how connectivity and compute work together, what edge inference and real time decisioning demand of the network, and the journey from where OEMs sit today to where the market is heading. The conversation is candid and outcome focused, built to surface where to start now rather than to sell a finished answer.
Dave Cohen, Director of IoT, T-Mobile
Matthew Feider, Sr Manager of AI Business Development, T-Mobile
Moe Beydoun, Sr Director of Sales Specialists, T-Mobile
