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
This interview will be moderated by a Reuters journalist under the Reuters Trust Principles
• Decode the competitive playbook of fast-moving global OEMs – including their approach to user experience, software integration and manufacturing efficiency – to identify where legacy automakers hold genuine structural advantages and where urgent investment is required to close the gap.Â
• Explore how strategic partnerships, co-manufacturing arrangements and technology-sharing agreements can allow established OEMs to match the speed and cost efficiency of new entrants without dismantling the engineering heritage and safety credentials that define their brand.Â
• Navigate the geopolitical and regulatory landscape surrounding new market entrants, examining how tariff structures, USMCA renegotiations and regional compliance requirements create both barriers and unexpected opportunities for OEMs willing to move decisively.Â
• 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.
• Rebuild supply chains for battery, semiconductor, and power electronics components to eliminate bottlenecks that threaten EV production volumes.Â
• Deploy factory‑level digitalisation, predictive maintenance, and flexible automation to accelerate multi‑energy (ICE/HEV/BEV) production without increasing operational risk.Â
• Strengthen supplier ecosystems with dual‑sourcing, localisation, and real‑time performance visibility to secure capacity, quality, and cost competitiveness at scale.Â
• Discover how advancements in sensing architectures are offering distinct advantages in terms of simplified integration and cost optimization, and enhanced environmental awareness.Â
• Discuss whether to adopt edge AI or centralized compute architectures for real-time data processing.Â
• Learn about the new opportunities opened by intelligent chassis systems in the autonomous driving sector.Â
• Align procurement and engineering to deliver design‑to‑cost, modularity, and platform standardisation for U.S.‑built EVs.
• Use total‑cost‑of‑ownership models to balance domestic requirements, localisation costs, and logistics exposure.
• Deploy digital procurement tools and analytics to actively manage commodity volatility and to optimise supplier performance at North American scale.
• 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.Â
• 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
• Build the data infrastructure your resilience strategy demands by closing the visibility gap between procurement intent and what is happening across your supplier network.
• Transform supplier relationships from trust-on-faith to trust-on-evidence by embedding transparent, real-time performance data at every tier of the supply chain.Â
• Deliver the board-ready supply chain narrative that secures investment in digital infrastructure by quantifying the cost of opacity against the return on end-to-end visibility.
• Address the legacy practice of bolting software onto a mechanical foundation as an afterthought to close the speed and experience gap of market entrants that are designing vehicles software-first in half the time.
• Discover how to align engineering, sales and finance teams around a shared SDV model that ties software capability directly to customer lifetime value and brand loyalty.
• Learn how to embed virtual engineering, digital twins and AI-powered simulation from early-stage design to reduce development cycles and gain a decisive time-to-market advantage.
This interview will be moderated by a Reuters journalist under the Reuters Trust Principles
• Align vehicle content, financing design and residual value management into one total-cost strategy to make vehicles accessible to priced-out buyers while protecting OEM and dealer margins from erosion.
• Eliminate warranty liabilities from unvalidated software updates that inflate vehicle pricing to ensure investment in quality upfront is the fastest path to affordable, profitable products.Â
• Benchmark assumptions against real consumer walk-away thresholds using live audience data to transform affordability debates into urgent, data-driven action plans.
This interview will be moderated by a Reuters journalist under the Reuters Trust Principles
• Diagnose the portfolio trap facing legacy OEMs — caught between an EV future they invested billions to reach and an ICE present consumers are demanding — and explore how to bridge a two-to-three year product gap without ceding market share to faster-moving competitors.
• Stress-test the assumption that retreating to trucks and SUVs is a safe harbour, exposing how over-reliance on high-margin segments accelerates the affordability crisis and leaves OEMs dangerously exposed when Chinese competitors arrive with comparable vehicles at half the price.
• Build a resilient portfolio strategy that balances short-term volume targets with long-term electrification commitments, using flexible manufacturing platforms and software-defined architecture to hedge across powertrain options without doubling capital expenditure.
This interview will be moderated by a Reuters journalist under the Reuters Trust Principles
Fuel the global race: Power your OEM with AI that compresses innovation cycles and multiplies outputÂ
• Transform market intelligence into competitive advantage through AI systems that synthesize global competitor moves, regional demand shifts, and pricing patterns to enable agile strategic pivots.
• Amplify workforce output without expanding headcount by automating repetitive knowledge work across customer support, analytics, and engineering to redirect talent toward high-value innovation.Â
• Drive faster product launches and continuous improvement by integrating AI throughout the development lifecycle to automate simulation runs, explore design alternatives, and compress testing cycles.
• 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.Â
• Compress costs by deploying AI optimization engines that fine-tune process variables, reduce material overuse, and coordinate just-in-time inventory to deliver more vehicles per shift.
• 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.Â
• Unlock cross‑plant efficiency gains by standardising automation architectures, data models, and accelerate enterprise‑wide deployment.
• Shield drivers with a digital guardian by deploying collision avoidance and adaptive cruise systems that eliminate human-error accidents through millisecond hazard detection.
• Transform vehicles into self-diagnosing machines through AI models that identify early component wear patterns and schedule maintenance before costly roadside failures.Â
• Orchestrate the optimal drive by implementing AI that continuously adjusts energy consumption, routing, and cabin settings to deliver efficiency gains and personalized comfort.
• Accelerate operational response by embedding predictive supply signals directly into the production floor so disruptions are resolved before they reach the line, not after.
• Drive measurable cost efficiency by connecting OT and IT data streams in real time, eliminating the decision lag between supplier failure and corrective action.Â
• Deliver the visibility infrastructure that transforms reactive manufacturing into a proactive, data-led production system across every tier of the automotive supply chain.
This interview will be moderated by a Reuters journalist under the Reuters Trust Principles
This interview will be moderated by a Reuters journalist under the Reuters Trust Principles
• Decode the competitive playbook of fast-moving global OEMs – including their approach to user experience, software integration and manufacturing efficiency – to identify where legacy automakers hold genuine structural advantages and where urgent investment is required to close the gap.Â
• Explore how strategic partnerships, co-manufacturing arrangements and technology-sharing agreements can allow established OEMs to match the speed and cost efficiency of new entrants without dismantling the engineering heritage and safety credentials that define their brand.Â
• Navigate the geopolitical and regulatory landscape surrounding new market entrants, examining how tariff structures, USMCA renegotiations and regional compliance requirements create both barriers and unexpected opportunities for OEMs willing to move decisively. Â
This interview will be moderated by a Reuters journalist under the Reuters Trust Principles
• Align vehicle content, financing design and residual value management into one total-cost strategy to make vehicles accessible to priced-out buyers while protecting OEM and dealer margins from erosion.
• Eliminate warranty liabilities from unvalidated software updates that inflate vehicle pricing to ensure investment in quality upfront is the fastest path to affordable, profitable products.
• Benchmark assumptions against real consumer walk-away thresholds using live audience data to transform affordability debates into urgent, data-driven action plans.
This interview will be moderated by a Reuters journalist under the Reuters Trust Principles
• Diagnose the portfolio trap facing legacy OEMs — caught between an EV future they invested billions to reach and an ICE present consumers are demanding — and explore how to bridge a two-to-three year product gap without ceding market share to faster-moving competitors.
• Stress-test the assumption that retreating to trucks and SUVs is a safe harbour, exposing how over-reliance on high-margin segments accelerates the affordability crisis and leaves OEMs dangerously exposed when Chinese competitors arrive with comparable vehicles at half the price.
• Build a resilient portfolio strategy that balances short-term volume targets with long-term electrification commitments, using flexible manufacturing platforms and software-defined architecture to hedge across powertrain options without doubling capital expenditure.
This interview will be moderated by a Reuters journalist under the Reuters Trust Principles Â
Fuel the global race: Power your OEM with AI that compresses innovation cycles and multiplies output
• Transform market intelligence into competitive advantage through AI systems that synthesize global competitor moves, regional demand shifts, and pricing patterns to enable agile strategic pivots.
• Amplify workforce output without expanding headcount by automating repetitive knowledge work across customer support, analytics, and engineering to redirect talent toward high-value innovation.Â
• Drive faster product launches and continuous improvement by integrating AI throughout the development lifecycle to automate simulation runs, explore design alternatives, and compress testing cycles.
• 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.
• Discover how advancements in sensing architectures are offering distinct advantages in terms of simplified integration and cost optimization, and enhanced environmental awareness.Â
• Discuss whether to adopt edge AI or centralized compute architectures for real-time data processing.Â
• Learn about the new opportunities opened by intelligent chassis systems in the autonomous driving sector.Â
• 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.
• Address the legacy practice of bolting software onto a mechanical foundation as an afterthought to close the speed and experience gap of market entrants that are designing vehicles software-first in half the time.
• Discover how to align engineering, sales and finance teams around a shared SDV model that ties software capability directly to customer lifetime value and brand loyalty.
• Learn how to embed virtual engineering, digital twins and AI-powered simulation from early-stage design to reduce development cycles and gain a decisive time-to-market advantage.
• Rebuild supply chains for battery, semiconductor, and power electronics components to eliminate bottlenecks that threaten EV production volumes.
• Deploy factory‑level digitalisation, predictive maintenance, and flexible automation to accelerate multi‑energy (ICE/HEV/BEV) production without increasing operational risk.Â
• Strengthen supplier ecosystems with dual‑sourcing, localisation, and real‑time performance visibility to secure capacity, quality, and cost competitiveness at scale.
• Align procurement and engineering to deliver design‑to‑cost, modularity, and platform standardisation for U.S.‑built EVs.
• Use total‑cost‑of‑ownership models to balance domestic requirements, localisation costs, and logistics exposure.
• Deploy digital procurement tools and analytics to actively manage commodity volatility and to optimise supplier performance at North American scale.
• Build the data infrastructure your resilience strategy demands by closing the visibility gap between procurement intent and what is happening across your supplier network.
• Transform supplier relationships from trust-on-faith to trust-on-evidence by embedding transparent, real-time performance data at every tier of the supply chain.Â
• Deliver the board-ready supply chain narrative that secures investment in digital infrastructure by quantifying the cost of opacity against the return on end-to-end visibility.
• 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.Â
• Compress costs by deploying AI optimization engines that fine-tune process variables, reduce material overuse, and coordinate just-in-time inventory to deliver more vehicles per shift.
• Shield drivers with a digital guardian by deploying collision avoidance and adaptive cruise systems that eliminate human-error accidents through millisecond hazard detection.
• Transform vehicles into self-diagnosing machines through AI models that identify early component wear patterns and schedule maintenance before costly roadside failures.Â
• Orchestrate the optimal drive by implementing AI that continuously adjusts energy consumption, routing, and cabin settings to deliver efficiency gains and personalized comfort.
• 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.
• Accelerate operational response by embedding predictive supply signals directly into the production floor so disruptions are resolved before they reach the line, not after.
• Drive measurable cost efficiency by connecting OT and IT data streams in real time, eliminating the decision lag between supplier failure and corrective action.Â
• Deliver the visibility infrastructure that transforms reactive manufacturing into a proactive, data-led production system across every tier of the automotive supply chain.
