For over a decade TomTom has been creating consumer devices for
navigation routing people from A to B as fast as possible. One of the key
components in routing is the availability of a high-quality map.
While initially maps were being produced in a very laborious way involving
a significant amount of manual work, map productization is nowadays
becoming more and more automatized.
Using public transport can be a challenge. In case of disruptions,
loudspeaker announcements are the critical source of information –
but they can be hard to understand, even for native speakers. English
translations aren’t always provided, except in bigger cities. Matters get
even worse for handicapped or elderly people, because information about
accessibility on the alternative routes is usually not available at all.
Despite the recent Volkswagen scandal, German cars still have a
world-class reputation. And Germans still love cars: more than 44 million
vehicles are registered, that’s about one car for every second citizen.
Understandably, the used car market is also large – but, how does one
arrive at a fair value for a used car?
Envisioning the future, debates around self-driving cars usually only
circle around the specific point of time of general adoption. Will it
happen in two, five or ten years? How will regulators handle the issue and
how will bureaucratic processes impact the speed of the revolution of the
Berlin-based data science agency idalab joins forces with DB Systel
(IT-subsidiary of German railway operator Deutsche Bahn), The German Center
for Artificial Intelligence (DFKI), init and PS-Team to develop a
cross-sector mobility service platform, aggregating data from various
sources to provide smarter mobility services.