Anna Achenbach

After pursuing her PhD in Data Science Anna started her work at DPDHL back in 2018. With a background in Logistics from her Bachelor's and Master's studies Data Science at DPDHL combines what she enjoys most: Work with a group of talented
Machine Learning Experts and Analytics enthusiasts and develop projects to embed data (science)-
driven decision making deeply into our business processes. Besides regular project work Anna focuses on developing trainings for Non-Data Scientists ranging from data literacy to management trainings.


Session

04-18
14:45
45min
Delivering AI at Scale
Severin Schmitt, Anna Achenbach, Thorsten Kranz

Everybody knows our yellow vans, trucks and planes around the world. But do you know how data
drives our business and how we leverage algorithms and technology in our core operations? We will
share some “behind the scenes” insights on Deutsche Post DHL Group’s journey towards a Data-Driven
Company.
• Large-Scale Use Cases: Challenging and high impact Use Cases in all major areas of logistics,
including Computer Vision and NLP
• Fancy Algorithms: Deep-Neural Networks, TSP Solvers and the standard toolkit of a Data
Scientist
• Modern Tooling: Cloud Platforms, Kubernetes , Kubeflow, Auto ML
• No rusty working mode: small, self-organized, agile project teams, combining state of the art
Machine Learning with MLOps best practices
• A young, motivated and international team – German skills are only “nice to have”
But we have more to offer than slides filled with buzzwords. We will demonstrate our passion for our
work, deep dive into our largest use cases that impact your everyday life and share our approach for a
timeseries forecasting library - combining data science, software engineering and technology for
efficient and easy to maintain machine learning projects..

Sponsor
B09