Since 30 years the field of Data Science undergoes changes in its definitions, tasks and self-understanding. Where are we standing now? How do Data Scientists see themselves after they left the universities and entered industries? Not a structured but a knowledgeable view on the current situation with insights and outlooks on what Data Science is, might be and can achieve.
KEYNOTE
In the early 2000s, Axel Springer had to make an important decision: to become digital or die. Decades ago we’d realized that people stopped reading newspapers the way they did it in the past. Therefore, we started to digitize along our core areas of expertise in order to survive. Today we’re Europe’s leading digital publisher and winning the Internet and since 2019 we are also a media and quite new, a technology company. However, being a tech company is not enough anymore. In this talk, I will present why this is the case and how we want to become an AI-first company, talking about Axel Springer’s past, the present and also give a glimpse of its potential future. Moreover, I will also show some of our projects that we’re currently working on.
Deutsche Post DHL Group employs over half a million people around the globe across postal services, international express delivery, forwarding and contract logistics. Not surprisingly, our activities generate a lot of data. We believe that our data is the key to unlocking untapped potential in our company – but how can we leverage our data assets to drive the decision making? How can we build AI products and deploy them in our business processes?
We try to answer these questions, provide real world examples and share our key learnings of leveraging data science in logistics at scale.