General: Production Session List
5 Things You Want to Know About AI Adoption in the Enterprise
Alexander CS Hendorf
Architecture, Best Practice, Business & Start-Ups, Corporate, Diversity & InclusionAll 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.
A Smooth Ride: Online Car Buying and Selling at mobile.de
Ricardo Kawase, Marlene Hense
Best Practice, Career & Freelancing, Use CaseBuying 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.
How to build a Python-based Research Cloud Platform from scratch
Andre Fröhlich
Architecture, Business & Start-Ups, Use CaseThis talk will present the journey of a quantitative asset manager from an outdated (non-Python) onPrem research setup to a modern Python-centric cloud research platform.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
Introduction to MLOps with MLflow
Tobias Sterbak
Best Practice, Predictive Modelling, ReproducibilityLearn the basics of MLops with MLflow to manage the machine learning life-cycle.
Making Machine Learning Applications Fast and Simple with ONNX
Jan-Benedikt Jagusch, Christian Bourjau
Data Engineering, DevOps, PackagingIn 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.
What I learned from monitoring more than 30 Machine Learning Use Cases
Lina Weichbrodt
Best Practice, Backend, DevOpsHow 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
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