
Podcast #22: How Siemens Scaled Data and AI Innovation
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In this episode, Moritz Heimpel, head of Data and AI Operations at Siemens AG, discusses the role of data and AI within Siemens, a leading manufacturing automation company. He explains the structure of the data team, the importance of domain knowledge, and the growing demand for data-driven decision-making across various business divisions. The conversation also covers the challenges of scaling data use cases, particularly in factory settings, and the collaborative efforts required to ideate and implement new data solutions. In this conversation, Moritz Heimpel, head of data and AI operations at Siemens AG, discusses the evolution of use case development in industrial settings, emphasizing the importance of streamlining processes and leveraging common technologies. He highlights innovative use cases within Siemens, including foundational models that utilize industrial know-how to enhance AI capabilities. The discussion also covers smart infrastructure solutions, the Siemens Data and AI Cloud platform, and the future potential of managing unstructured data effectively.