Speakers:
How MLOps Practices Speed Up the Development of Condition Monitoring Services at KSB SE & Co. KgaA
Date:
Tuesday, November 19, 2024
Time:
10:30 am
Track:
Summary:
At KSB SE & Co. KGaA, the number of productive ML-models increased with the growing customer base of its digital product KSB Guard. As a result, the need for a clear separation of responsibilities between data scientists and operations increased. In particular, the further development of already productive models became a pain point. In this talk I want to present a service architecture that promotes seamless collaboration between data science and operations teams.
How Siemens Scaled Predictive Quality Control Across Factories Globally
Date:
Tuesday, November 19, 2024
Time:
11:00 am
Track:
Summary:
Learn how Siemens scales their models for predictive quality control across their factories globally. What challenges occurred and how they overcame them. For example, how to deal with heterogeneous data in an efficient way, when every factory is different? And how ensure that the integration of every factory does not become its own data science project? How to work with data that can not leave the country? These and many more insights will be shared by Siemens and their partner Katulu.