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.
While Artificial Intelligence is continuing to transform the world as we
know it, the need for “AI generalists”, who take the role of architects
designing custom solutions becomes ever more acute. It is no wonder that AI
architects are in short supply: AI architects combine profound expertise in
AI-methodologies with a highly analytical, yet creative and
solution-focused mindset, enabling them to see the bigger picture and make
strategic decisions. Today, only few people have this kind of generalist
This year’s PyData Berlin conference, taking place from July 6th to
8th at the Charité-Campus (Virchow), was a huge success and with almost
600 participants the biggest PyData conference all over Europe. Concerned
with providing a forum for python users and developers in the field of data
analysis, a wide range of topics was covered in four simultaneous tracks,
going from deep learning and scalability over data privacy and best
practices to putting machine learning into production.
After becoming part of the SD4M (Smart Data 4 Mobility) consortium
in 2016, we are proud to announce that we will participate in another
3-year research program, funded by the Federal Ministry of Transport and
Digital Infrastructure (BMVI) as part of the mFund program.
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.
Big Data und Data Science steht mittlerweile bei deutschen und
europäischen Unternehmen ganz oben auf der Agenda. Die gestiegene
Datenverfügbarkeit in Kombination mit mathematisch-statistischen
Analysemöglichkeiten verändert nicht nur Produkte und Geschäftsmodelle
– sondern auch ganze Industrien wie die Telekommunikations- und
Energiebranche, die vor einer großen Transformation stehen.