How Machine Learning Powers the Connected Car

Cars are now connected to the internet and car manufacturers are becoming more like software companies, shifting focus from traditional hardware platforms towards the software and services platform, leveraging scalable cloud computing with machine learning and IoT.
The car is not just about going from point A to point B anymore, but rather delivering a holistic experience that revolves around the activities in our daily lives. Car manufacturers are using big data, machine learning and AI to understand consumer behaviors, and preferences for specific cars that they like to drive. Your car may predict when you should leave for work and home, and learn which places you go often, to make the car become The Ultimate Smart Driving Machine.
The IEEE Computer Society Chicago Section held a technical talk at the BMW Technology Corporation’s Chicago office. In the talk, Dr. Alvin Chin, a Senior Researcher at BMW and the IEEE CS Chicago Vice Chair, presented on the enabling technologies, challenges and the state-of-the-art technologies in the connected car industry. The event was attended by about 15 IEEE CS members and non-members, and several BMW engineers and interns.
Dr. Alvin Chin presented the state-of-the-art in the connected car industry, and how BMW addresses the challenges and opportunities that big data and machine learning provides.
IEEE CS Chicago would like to thank BMW Chicago for hosting the event and for sponsoring the refreshments.