Production
6 talks from the 2022 edition.
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5 Things You Want to Know About AI Adoption in the Enterprise ▶ Recording 📝 Transcript
Alexander CS Hendorf
All one needs is strategy, skill and resources to make digitalization and AI happen. So why is everything taking so long? Shouldn’t you all be finished yesterday already? Or: how do we start? A practitioner's talk...
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A Smooth Ride: Online Car Buying and Selling at mobile.de
Ricardo Kawase, Marlene Hense
Mobile.de is Germany's largest online vehicle marketplace. Every day, thousands of people come to our platform looking to buy or sell a vehicle. Buying or selling a high value good such as a car is a challenging task...
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How to build a Python-based Research Cloud Platform from scratch ▶ Recording 📝 Transcript
Andre Fröhlich
This talk will present the journey of a quantitative asset manager from an outdated (non-Python) onPrem research setup to a modern Python-centric cloud research platform.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...
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Introduction to MLOps with MLflow ▶ Recording 📝 Transcript
Tobias Sterbak
Machine learning requires experimenting with different datasets, data preparation steps, and algorithms to build a model that maximizes some target metric. Once you have built a model, you also need to deploy it to a...
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Making Machine Learning Applications Fast and Simple with ONNX
Jan-Benedikt Jagusch, Christian Bourjau
Taking trained machine learning models from inside a Jupyter notebook and deploying them into a production microservice is painful for two reasons: - Models are not fully self-contained and need to be packaged...
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What I learned from monitoring more than 30 Machine Learning Use Cases ▶ Recording 📝 Transcript
Lina Weichbrodt
This talk summarizes the most important insights I gained from running more than 30 machine learning use cases in production. We will take a loan prediction model as an example use case and cover questions like: -...