Cognitive Diagnostics in Automotive using ML

The effective diagnosis and resolution of issues in on-road and off-road vehicles are critical for maintaining optimal performance and customer satisfaction. Off-road incidents, in particular, can negatively impact brand image if not addressed promptly. Cognitive diagnostics, a novel concept, combines artificial intelligence (AI) with Unified Diagnostic Services (UDS) to create an advanced solution. This approach utilizes AI algorithms to analyze extensive vehicle data, enabling swift and accurate issue identification. By integrating machine learning into traditional diagnostic protocols, cognitive diagnostics offers benefits such as predictive maintenance, reduced downtime, and enhanced customer satisfaction. This transformative methodology not only improves issue resolution efficiency but also positively influences the overall perception of the vehicle brand.