Big Data and mobility = a winning combo for TomTom, Total and Audi
Big Data Paris expo took place on March 11th and 12th. It was a question of mobility via the many examples of the use of Artificial Intelligence. Especially in the sphere of self-driving vehicles. But what’s even more noteworthy is the transformation. It took place through the integration of large-scale data analysis in the operating modes and business models of certain large companies. Three major brands took the stage in the large amphitheater. They shared their recent experiences in order to shine a light on this revolutionary movement.
How did Big Data move TomTom from &geolocation to mapping?
TomTom is a brand the general public loved. And then it disappeared from the spotlight. However, it remains a leader in the provision of HD maps for guidance systems on board our favorite vehicles. Specializing in GPS, the brand now positions itself as a Big Data player. Indeed, its maps are no longer intended only for drivers, but more for the vehicle itself. In order to indicate its position with absolute precision as well provide information on its environment.
As William Strijbosch, Director of the Self-Driving Vehicles Department for TomTom states, “Having a large number of auto manufacturers as TomTom customers for future mobility is a guarantee of the quality and performance of our products.”
In Paris, Alain de Taeye, Board Member, explains how the company quickly evolved towards mapping and monitoring traffic in real time. And then moved on to self-driving vehicles using ultra-precise data collected via sensors. “Each second, we accumulate enough data to go around the world 16 times, which explains the extraordinary precision of the information we return to our partners,” he summarizes.
Audi, at the center of Big Data for enhancing mobility
Audi is another player who is very involved in future mobility. Hubert Fisher, Director of IT Projects for the firm, emphasizes the challenges that data raises within the structures dedicated to AI. Focused on customer expectations and made up of automobile and technology enthusiasts, the research center operates in four areas:
1.) Artificial Intelligence or how to go beyond its use in self-driving vehicles and harness the power of data to improve all of Audi’s processes?
2.) Swarm data or distributed intelligence, which allows for reciprocal circulation between self-driving vehicles in real time.
3.) Augmented reality
4.) “End-to-end” architecture platforms which connect vehicles, databases, connected objects and mobile devices (such as smartphones).
Here too, we see that the eco-system of German manufacturers is growing at the same time that data is opening up new horizons for our mobility.
Total’s data extraction
Finally, it was Total’s turn to showcase their collaboration with Sinequa, a Big Data player. The goal? To show how the group comes up with new uses through the analysis of unstructured textual data using NLP (Natural Language Programming). For Total, it’s about collecting data, intelligence and connections between specific bits of information in order to facilitate collaboration between employees. “Building future mobility must involve all our employees,” explains Mathilda Fourquet, Director of Total’s data team.
Big Data is an indicator of the massive and rapid transformation of numerous industries. In the domain of mobility, the abundance of data opens up a huge field for exploration. Only those who will quickly move toward intelligent use of this data will witness the new path which will be forged.