IBM, SEAT launch ‘urban mobility with AI’ proof of concept

Technology News |
By Rich Pell

Announced at Mobile World Congress a day after SEAT presented its car/motorcycle hybrid concept car Minim√≥ (image), “Mobility Advisor” uses IBM Watson AI to help urban citizens make informed decisions about their daily transportation options including cars, scooters, bikes, and public transport. Designed to run as a mobile app on 4G/5G networks, Mobility Advisor uses IBM Watson Assistant to provide users with a conversational interface to plan and optimize routes and suggest the most suitable transportation options.

“Traffic congestion and environmental challenges are putting huge pressure on cities to transform,” says Jordi Caus, SEAT’s Head of New Urban Mobility Concepts. “With its advanced cloud and AI technologies, IBM is helping us to innovate new approaches to mobility that will transform our business strategy while improving the lives of people living in urban areas.”

With IBM Watson Machine Learning, Mobility Advisor can learn a user’s preferences and make personalized recommendations for how best to complete a journey. Connected to the IBM Cloud, it dynamically adapts to changing conditions by taking into account weather forecasts, traffic reports, and things happening in the city that day.

It incorporates the user’s appointments and historical data about previous choices in order to suggest the best modes of transportation each time.

“With the roll-out of 5G networks in cities in the coming years, the possibilities for transforming the driver experience are limitless,” says Juan Ramon Gutierrez Villar, Industry Solutions Leader, IBM Global Markets. “At IBM, we are working with telecommunications companies and innovative manufactures like SEAT to provide the open technologies which they need to deliver on this vision and create highly contextualized and personalized user experiences that work at lightning speed across multiple clouds and IT platforms.”

SEAT’s R&D Mobility team will continue working with IBM technicians on the evolution of Mobility Advisor proof of concept and its different potential applications.


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