Become the Voice the Industry Follows
Join influential webinar panels and premium speaking opportunities designed to position your organization as the definitive industry authority. Speaking opportunities begin at $10,000 and include exclusive webinar panel discussions with industry leaders. Transform your expertise into influence. Get in touch today to secure your spot in upcoming panels and speaking engagements.
Panel Discussions Schedule
Release Month | Session |
December | Panel Discussion: Maximizing Potential at the Convergence of Automotive, Cloud & Tech How are today's connected vehicle platforms elevating infotainment capabilities through seamless over-the-air updates, robust cloud architecture, and real-time information delivery? To what extent are these technologies changing how drivers interact with their vehicles and access entertainment, navigation, and vehicle information? The modern vehicle increasingly functions as a personalized extension of the driver's digital identity. In what ways are advancements in SDV, connectivity, cloud computing, and remote operations enabling ownership experiences that adapt to individual user profiles? What opportunities exist to extend these technological capabilities beyond convenience features to enhance core vehicle performance through remote diagnostic capabilities, AI-driven predictive maintenance systems, and comprehensive performance monitoring solutions? |
December | Panel Discussion: The Digital Cockpit Revolution: Driving Brand Differentiation and Revenue Which digital cockpit features and services are most valued by consumers? How can automakers leverage these preferences to create new and recurring revenue streams? What strategies can automakers employ to develop personalized user interfaces that authentically reflect and reinforce their unique brand identity? How can OEMs effectively respond to the popularity of smartphone mirroring while maintaining control of the in-vehicle experience to strengthen their brand positioning? |
January | Panel Discussion: Mastering Cloud, Data and AI for a Software-Defined Future In what ways do safety requirements, physical constraints, and heterogeneous computing in automotive complicate the adoption of standard cloud development practices, and how can these challenges be addressed without compromising innovation speed? How should automakers prioritize which vehicle data to collect, process, and upload, and what architectural decisions today will best position OEMs for the exponential data growth expected in coming years? Which vehicle systems and organizational processes stand to benefit most from AI integration? |
January | Panel Discussion: Transforming Testing Methodologies for Software-Defined Vehicles How can automakers reconcile increasing cost pressures with the critical need for software quality and security, particularly as we transition toward Software-Defined Vehicles? What specific strategies should OEMs prioritize to enhance software quality, reliability, and durability through continuous monitoring and early-stage testing integration? How can we maximize the potential of AI for generating and refining test cases while maintaining essential human oversight to ensure accuracy and comprehensive code coverage? |
February | Panel Discussion: Navigating ADAS Fusion Methodologies and AI Integration in the Zonal Transition Era What approaches can OEMs take when deciding between centralized versus distributed processing architectures and early versus late fusion methodologies to optimize next-generation ADAS systems while facilitating the transition to zonal architectures? How can automakers integrate sophisticated artificial intelligence and machine learning models with traditional automotive systems for ADAS sensor fusion while simultaneously meeting stringent safety, reliability, and cost requirements? |
February | Panel Discussion: Engineering Robust ADAS Fusion Systems for Real-World Complexity How can automotive engineers develop more effective methods for synchronizing and integrating data from multiple sensors with varying frequencies and resolutions to ensure accurate real-time processing in critical ADAS applications? How can the industry design sensor fusion systems that reliably resolve contradictory inputs from different sensors and maintain consistent performance across all environmental conditions particularly in adverse weather and complex traffic scenarios? What strategies can automakers employ to overcome the lack of standardization in sensor fusion approaches while balancing system complexity with market adoption requirements and achieving the production volumes necessary for cost-effective implementation? |