Prompted by an activation phrase, Dragon Drive recognizes a driver named Lior by his voice. Voice command in cars shows so much potential to help drivers keep their eyes on the road, but since its implementation, the technology largely resulted in frustration. Sure, placing a call to a specific contact usually works, but just try finding a destination in the navigation system. It becomes worse when the car doesn't show what commands it understands. Nuance, the company behind the majority of voice systems in cars, thinks it has the problem licked through the use of machine learning and the cloud, essentially equipping cars with a virtual assistant.

Nuance Communications Inc. announced that the Dragon Drive connected car framework will now have contextual reasoning which will allow AI to deliver contextualized and personalized recommendations for navigation, dining, gas stations, points of interest (POI) and other domains. The service can be integrated across a variety of Dragon Drive's Domain applications designed specifically for the in-car experience, and is entirely accessible through a conversational user interface or haptic feedback where appropriate. The Contextual Reasoning Framework leverages Nuance's advancements in Artificial Intelligence to exploit domain knowledge in a context-sensitive manner to provide a more intelligent experience behind the wheel. A core element of Nuance's Automotive Assistant offering, the new Contextual Reasoning Framework can proactively provide information and make recommendations by performing reasoning on a large repository of knowledge, in combination with a driver's preferences, location and situational context, and the data from the car's sensors. Each entry of the knowledge repository can range over general, spatial and temporal knowledge, domain-specific knowledge about parking, fuel stations, and information specific to certain geographic markets and vehicle characteristics.