Databricks Stuttgart User Group - Lautenschlagerstraße 23a, Stuttgart, Baden-Württemberg 70173
Agenda:
- 17:45 - 18:00 - Warm welcome
18:00 - 18:35 - “AI Visual Inspection: A story from competition to deployment”, Julian Ruepp (Bosch)
and Pascal Kilian (Bosch)
Abstract: The rapidly evolving field of machine learning offers an overwhelming variety of modeling options. To make the selection process less cumbersome, a structured approach is required. This talk will explore the journey from initial modeling competition to the deployment of a relevant ML solution. We begin by emphasizing the importance of setting clear objectives and establishing fixed competition datasets, which serve as the foundation for consistent model evaluation. By logging models in a shared space, we ensure that all models are accessible by a uniform evaluation method, facilitating fair comparisons. Collaborating with clients to develop evaluation soft metrics is crucial in determining which model is best suited for scaling. As we move towards production, the focus shifts to enhancing robustness through orchestrated workflows, while also considering cost efficiency and inference time. Join us as we delve into the journey from competition to a final model, ensuring not only technical performance but also meet the practical demands of deployment.
18:35 - 19:10 - “Building an End-to-End Interoperable Data Platform: How Bosch Leverages Databricks, dbt, and LLMs for Supply Chain Consolidation”, Satish Karunakaran (Bosch) and Marc-Alexander Frey (Bosch)
Abstract: This session will showcase Bosch’s journey in consolidating supply chain information using the Databricks platform. It will dive into how Databricks not only acts as the central data lakehouse but also integrates seamlessly with transformative components such as dbt and Large Language Models (LLMs). The talk will highlight best practices, architectural considerations, and the value of an interoperable platform in driving actionable insights and operational excellence across complex supply chain processes.