 The starting point for this project is the fact that currently there is a huge amount of disruption and innovation in the automotive industry. And one of the key challenges facing automotive manufacturers is suddenly that there's a huge amount of data coming into the car from all sorts of places. This could be environmental data, data about preferences of passengers, data about driver intention. This is one of the tasks that we've been addressing at IBM Research and University College Dublin, namely to build parsing engines that enable us to parse information so that only that information that's really, truly relevant for the vehicle is able to affect the vehicle. The other component that we've built is a root prediction engine, which is always trying to predict the intention of the driver and the intention of the car. This companion is really a guardian angel that sits in the vehicle. It looks after the passengers, it looks after the driver in the car in the context of a particular journey. So the basic idea is that the companion is always there, it's always trying to figure out what the driver intends to do and if it senses risk then it will intervene. It will wake up and it will assist the driver and help the driver to avoid getting into difficult and risky situations. It seems you're going to UCD, Bellfield, is that correct? That's true, yes. You should enter UCD through the northeast gate at Stilorgan Road. Is that okay? Can you explain to me why? Because the UCD internal gates are closed now. Can I suggest the best parking spot to you? That would be nice, yes. You should park at Eastside Visitor Car Park. Okay, thank you. In order to enable the genie to interact with you, just like a human companion would and without taking your attention off the road, we're using Watson's speech to text to listen to you, Watson Conversation's natural language processing to understand you and Watson's text to speech to talk to you.