is the Head of AI at Axel Springer Ideas Engineering (https://axelspringerideas.de/), the
innovation unit of Axel Springer SE which is the largest digital publishing
house in Europe. He establishes and leads Axel Springer AI where his goal
is to make AI more accessible within Axel Springer and hence drive innovations
within the group. His ultimate plan is to turn Axel Springer into an AI first
interests are diverse from traditional machine learning, deep learning, AI in
general to computer vision.Previously, he co-headed the data team at idealo.de where he built up the machine learning
team from scratch. His team mainly focused on computer vision problems from
teaching a computer to understand aesthetics to upscaling low-resolution
images. He is a regular speaker and has presented at several renowned
conferences. He also blogs about his work on Medium. His background is in
Operations Research and Econometrics. Dat received his MSc in Economics from
Humboldt University of Berlin.
Check out the incredible speaker line-up to see who will be joining Dat.