Munich Re and Compredict: De-risking the Implementation of Machine Learning in the Car Industry
Date:
Wednesday, November 15, 2023
Time:
4:30 pm
Room:
Bernstein
Summary:
To improve adoption of their virtual sensors, which offer predictive maintenance analytics for the car industry, Compredict guarantees customers its machine learning-based sensors will meet a performance threshold. This guarantee is backed by Munich Re’s insurance for AI, securing customers’ ROI on their AI investment for their vehicle fleet. Alexandra and Daniel discuss why insuring your AI is a unique, powerful market signal to trust your offering, especially in industries typically hesitant to dive into new technologies.
From Experiments to Production: Building a Scalable Machine-Learning Service for Claims Assessment at Mercedes-Benz
Date:
Wednesday, November 15, 2023
Time:
5:00 pm
Summary:
In this talk, Thomas and Ole will delve into their journey of constructing a scalable machine-learning service for claims assessment within the automotive after-sales industry. Starting with local datasets and Jupyter notebooks, they will share how they transformed their initial experiments into a productive application. Their approach involved leveraging Azure Databricks, Kubernetes, and Seldon to enable seamless transitions from research to production, encompassing crucial aspects such as (re-)training, model deployment, and monitoring. Thomas and Ole will also share how they transformed the starting team of data scientists into a full ML-ops application team.