Building the platform for providing ML predictions based on real-time player activity
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Artem Volk
Publishing Platform Team Lead
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Fabian Zillgens
Phoenix Games
Verivox, a leading German online comparison platform, has successfully modernized their AI/ML workflow on AWS to stay at the edge of the industry. We will explore how Verivox transitioned from an on-premise Machine Learning workflow using R and proprietary tooling, to migrating to a cloud setup with Python and Amazon SageMaker while implementing MLOps best practices (CI/CD, IaC via CDK). This transition enabled data scientists to own the full stack of the ML Workflow, which drastically reduced their Model Development and Deployment time from Weeks to Hours.
World Congress 2024
Artem Volk
Publishing Platform Team Lead
Fabian Zillgens
Phoenix Games
Florian Mair
Senior Solutions Architect
Danilo Sawatzki
AI & Data Analytics Platform at Finanz Informatik
Jannis Eickenroth
Team Lead Analytics Frameworks & Services
Joschua Sünneke
Business Intelligence Developer at Finanz Informatik
Matthias Kordt
AI and Data Analytics Container Platform at Finanz Informatik
Sebastian Klenke
AI & Data Analytics Platform team at Finanz Informatik
Alejandro Saucedo
Director of Engineering, Science & Product at Zalando SE