The state of observability and AI adoption in the German automotive sector

In this episode of ITOM Spotlight, we sit down with Christian Schneegans and Andreas Klare to unpack the state of IT and AI adoption in the country’s automotive sector. As factories evolve into smart, connected environments, the need for deep observability and intelligent operations becomes increasingly critical.

In this session, we explore:
*The current state of observability and AI adoption in Germany’s automotive sector
*The IT compliance challenges in manufacturing and how observability can help solve them
*The role of AI in driving efficiency and sustainability in Industry 4.0
*Future trends shaping the next wave of manufacturing innovation

Whether you're in automotive IT, manufacturing strategy, or tech modernization, this conversation offers a ground-level view of the challenges and opportunities shaping the future of automotive innovation.

Timestamps
0:00 Self-introductions
1:00 The state of IT adoption in the automotive industry
1:44 The digital dependence of the automotive industry
3:03 The observability requirements of the automotive industry
4:30 The approach to adopting IT monitoring in the automotive industry
6:59 Compliance requirements in observability implementation
10:16 The challenges in ensuring IT compliance
12:38 The state of AI adoption in automotive manufacturing
15:38 AI for quality assurance
16:59 AI for IT resource management
18:09 AI in Digital twins
18:58 Following Green IT in the automotive sector
22:52 The next big trends to look for in the automotive sector

Видео The state of observability and AI adoption in the German automotive sector канала ManageEngine ITOM