Solution Examples
Podcast Episodes
IoT-Data Science – how scalable implementation and integration works
The episode is about the revolutionary fusion of IoT and AI, which opens up new possibilities for optimizing processes and improving interaction in industry. Experts such as Jakob Procher and Andreas Lehner share their valuable insights into the implementation and potential of these technologies, backed up by practical examples from their own experiences. Projects such as shopfloor.GPT illustrate how Large Language Models can be used in industry to increase efficiency and identify and rectify faults more quickly. A central point of discussion is the indispensable role of data quality and integration for the success of AI applications. Specific use cases, such as the optimization of forging machines and heavy-duty transporters, illustrate how specific problems can be solved through the use of AI and IoT. The episode also highlights the importance of cloud technologies, which serve as a catalyst for effective data connectivity and the realization of AI projects. Another important aspect is the principles of MLOps and DevOps, which support the automation and efficiency of AI projects. Looking to the future, the podcast episode discusses trends such as Explainable AI and Responsible AI as future focal points in AI development. These developments have the potential to increase the transparency and accountability of AI models and facilitate their integration into the industry. The economic benefits of such technologies, including the reduction of reject rates and the optimization of production processes, are highlighted as decisive added value for companies. In conclusion, the episode emphasizes the need for strategic implementation of AI technologies to effectively address real business problems and ensure long-term success.
Service strategy sets new standards for customer communication
We take it for granted that the train we board will take us safely to our destination. But behind this seemingly self-evident fact lies complex technology – like the signal components from Frauscher Sensor Technology. Frauscher is a specialist in the field of railroad operation, and here in particular for the so-called axle counters and wheel sensors. The All for One Group is one of the leading digitization partners in the German-speaking SME sector. In this podcast episode, Madeleine Mickeleit talks to All for One and its subsidiary CDE Engineering about their collaboration with Frauscher. CDE is an expert in smart products, SAP-related, MES-light, smart factory products, but also predictive maintenance. Frauscher Sensor Technology is one of its 2,500 customers from the DACH region. In this episode, the two partners show how sensor data and components from Frauscher are connected to the cloud and how digital networking integrates intelligently and smoothly into existing business processes. Episode number 57 of the IoT Use Case Podcast deals with exactly how this also optimizes maintenance work, makes trains more punctual, and what added value the All for One Group offers Frauscher. The podcast guests: Andreas Lehner (Head of Web Development, CDE GmbH) Maximilian Stadlbauer (Product Management, Frauscher Sensor Technology)
