Enabling/Enriching Vehicle Data through Artificial Intelligence
11:00 AM - 11:25 AMThu
Grande III
Technical Technical Presentation
Scheduled to Speak
Abhishek Verma
Solution Architect
KPIT
In today's connected mobility landscape, a comprehensive data platform is crucial for businesses to unlock the full potential of vehicle data and drive transformation. By leveraging Artificial Intelligence (AI) and aligning with industry standards such as the COVESA Vehicle Signal Specification (VSS), a data platform can intelligently manage telemetry from diverse IoT sources, enabling dynamic data capture strategies that optimize data volume and relevance. This approach ensures that only curated, contextrich data is transmitted, reducing noise and enhancing the value of insights derived. As a result, businesses can generate meaningful metrics, support advanced analytics, and enable real-time decisionmaking across vehicle domains. The ability to transform raw signals into actionable intelligence is a game-changer for Original Equipment Manufacturers (OEMs) and mobility providers. By applying AI to enable and enrich vehicle data, businesses can deliver safer, smarter, and more personalized driving experiences while maintaining scalability and interoperability. The benefits are numerous, including improved efficiency, enhanced safety, and increased revenue. For instance, AI-powered predictive maintenance can help reduce downtime and improve overall efficiency, while AI-powered anomaly detection can identify potential safety issues before they become major problems. As the industry continues to evolve, a robust data platform will set a strong foundation for future innovation in connected mobility, making vehicle data a strategic asset for growth and differentiation.