As autonomous vehicles reshape the automotive landscape, integrating voice AI is revolutionizing how drivers and passengers interact with technology on the move. This presentation delves into the transformative impact of voice enablement in self-driving cars, exploring how natural language processing and advanced voice recognition can enhance safety, streamline user interfaces, and boost overall driving experience. Attendees will gain insights into cutting-edge technologies, real-world applications, and the technical challenges involved in seamlessly integrating voice AI into modern vehicles. Join us to explore how voice-driven solutions are set to redefine in-car communication and pave the way for more intuitive and connected mobility experiences.

• Get a better understanding of the methodologies for embedding voice AI into AV systems and the benefits of a hands-free, natural user interface
• Learn about the technical hurdles, data privacy concerns, and security measures essential for robust voice-enabled systems
• Discover case studies and best practices that demonstrate successful voice AI implementations, enhancing both safety and user engagement

• How can AI and ML models be trained to handle unpredictable real-world conditions, including rare and adversarial scenarios?
• What are the limitations of simulation-based training, and how can real-world data be effectively incorporated to improve model robustness?
• With massive sensor data streams, how can V2X communication and edge computing optimize real-time decision-making in autonomous vehicles?
• How can AI models be designed to continuously learn, adapt, and generalize across different geographies, weather conditions, and traffic patterns?
• What are the key AI safety and validation strategies required to meet regulatory standards and ensure reliable deployment at scale?