WE SPECIALISE IN FINDING FANTASTIC OPPORTUNITIES
FOR DIGITAL AND DATA SPECIALISTS WITH THE MOST INNOVATIVE BUSINESS ACROSS EUROPE AND THE USA.
AI in Mobility - The Drivery Berlin
In October 2019 we hosted our first AI in Mobility event in partnership with The Drivery in Berlin. This was the first in a series of partnership meetups focussing on this exciting topic.
For this event, we welcomed speakers from CIrc annd Carmeq:
IQ Sayed, CTO and John Enevoldsen, Data Team Lead @ Circ:
How technology and data are shaping the future of micro-mobility.
Seemingly overnight Berlin has been taken over by little two-wheelers each coupled with a companion app. Join the experts from Circ (circ.com) , micro-mobility champion in Europe for an up-close personal talk about their current ride launching Circ across Europe and Germany. What was their approach? What were the challenges and lessons learned? What are the predictions for micro-mobility in Berlin? Join us for an evening filled with insights into tech and data insights as well as challenges in the mobility environment and learn how Circ use technology to solve the urban mobility challenge.
Jan Zawadzki, Project Lead, Data & AI @ Carmeq GmbH
How Machine Learning is turning the Automotive Industry upside down
The automotive industry has mobilized the global economy for decades. German automobile manufacturers (OEMs) alone employ more than 1 million people worldwide and generate sales of more than USD 500 billion. Since a Google + Stanford team won the Darpa Self-Driving Vehicles Challenge 2006 with the help of machine learning, the industry has been undergoing rapid change. Machine learning opens up brand-new business models, from autonomous driving to smart production to personal assistance in the car. However, the use of machine learning requires a different infrastructure than that found in traditional OEMs. Technology-first companies like Waymo or Tesla threaten to overtake established OEMs with billion-dollar market capitalization. Autonomous vehicles produce terabytes of data every day. This data can be immensely valuable in developing machine learning-driven functions. However, substantial challenges remain in the way of using this data. Visit this talk to hear about these challenges to help turn the automotive industry from a mechanical engineering to a software industry.
The next event in the series will be taking place in February, so watch this space!