.” And for those who have dabbled with the applications, the duplicity of power and danger is nearly inescapable: paragraphs of intelligent repose or responses emerge seemingly instantaneously based upon any simpleton’s prompts. For the masses, though, the practical applications are harder to visualize, let alone imagining the reshaping of an industry. “AI will unleash a new level of productivity and innovation,” predicts Ludovic Hauduc, CTO of Envorso and former VP of Engineering for Meta .
The novices to automotive believe this is a recent transformation. Silicon Valley transformed the world. True, and yet not. Connected vehicles started to ramp-up in the mid-90s, and the adaptation from in-vehicle datahave informed applications such as Predictive Maintenance for 15-20 years. However, enablers such as improved semiconductors, cellular networks and in-vehicle computing networks have made the flow of information from all parts of the vehicle easier and, therein, almost table stakes for competing. “We are entering a new era,” declared Thomas Weber, Mercedes-Benz’s Development Chief in an