CAIML #27
CAIML #27 is going to happen on November 14, 2023, at MobiLab Solutions. We will have two talks and a networking session with food and drinks provided by MobiLab.
Agenda
18h30 Open Doors
19h00 Welcome & Intro
19h15 Witold Czaplewski (Full Stack Engineer at MobiLab Solutions GmbH) - Supercharging Your Data Pipeline with Apache Spark and Apache Delta Lake
Transitioning from prototype to production is a challenge many data scientists face. This talk will guide you through the complexities of productionizing and scaling your data pipeline using Apache Spark and Delta Lake. We will share first-hand impressions of a real use case, in which we seamlessly moved data transformation/preparation jobs to the cloud and applied technologies like Spark Structured Streaming, Delta Lake, and Change Data Capture. Whether you’re a data scientist looking to scale or a data engineer aiming to deliver faster, this talk offers actionable insights to elevate your projects to the production level.
5 Minute Break
19h50 Claudio Martens (Machine Learning Engineer at Fraunhofer IAIS) & Hammam Abdelwahab (Machine Learning Engineer at Fraunhofer IAIS) - MLOps: Monitoring of Foundational Models
In this session, we’ll cover key MLOps topics, including data science solution monitoring, drift detection, and the crucial aspect of monitoring foundation models. Learn how MLOps streamlines machine learning model deployment and management. Explore effective strategies for monitoring data science solutions and detecting data drift. Discover best practices to ensure the reliability and effectiveness of your foundational models.
20h20 Networking with food and drinks provided by scieneers