Alexander CS HendorfArchitecture, Best Practice, Business & Start-Ups, Corporate, Diversity & Inclusion
All one needs is strategy, skill and resources to make digitalization and AI happen. So why is everything taking so long? 5 Things You Want to Know About AI Adoption in the Enterprise.
Ricardo Kawase, Marlene HenseBest Practice, Career & Freelancing, Use Case
Buying or selling a car is a challenging task that requires a lot of difficult decision-making. We will reveal all the "under the hood" data products at mobile.de that support users in making the right decisions.
Andre FröhlichArchitecture, Business & Start-Ups, Use Case
This talk will present the journey of a quantitative asset manager from an outdated (non-Python) onPrem research setup to a modern Python-centric cloud research platform. We will examine the requirements and challenges associated with the project and present how we navigated find
Tobias SterbakBest Practice, Predictive Modelling, Reproducibility
Learn the basics of MLops with MLflow to manage the machine learning life-cycle.
Jan-Benedikt Jagusch, Christian BourjauData Engineering, DevOps, Packaging
In this session, you will learn how to use ONNX for your machine learning model deployments, which can reduce your single-row inference time by up to 99% while also drastically simplifying your model management.
Lina WeichbrodtBest Practice, Backend, DevOps
How to implement #MachineLearning #monitoring for the impatient. Lessons I learned from running more than 30 models in production. And good news, you can use your existing monitoring and dashboard stack like #Prometheus and #Grafana