Data, AI, and processes: The path to the smart factory
The smart factory is more than just a buzzword—it is a model for industrial transformation. But in practice, many companies fail due to heterogeneous brownfield systems, incomplete data, and complex processes. Sensors, IoT, and AI offer potential, but only if existing data is used consistently, systems are modular, and employees are involved in the changes.
The path to the AI factory therefore does not begin with the latest technology, but with a structured data foundation and pragmatic steps: pilot areas, modular architectures, transparent data models, and iterative learning processes form the basis for smart, scalable production processes. This allows deviations to be identified early on, maintenance to be prioritized, and operational processes to be continuously optimized – without having to completely replace existing equipment.
The combination of technology, organization, and people is crucial. AI provides analyses and recommendations for action, employees make informed decisions, and modular systems enable flexible adaptation to new requirements. Even complex brownfield environments can thus be transformed into an AI Factory step by step.
Watch the webinar recording now
In this couch talk recording, experts share their experiences, specific use cases, and recommendations on how companies can make their production smarter, more efficient, and more future-proof.
Couchtalk participants:
- Dr. Sandra Maus (Head of Solution Advisory Supply Chain Management, SAP)
- Theresa Sinn (Head of Operational Excellence, EDAG)
- Mark Kramer (Head of Solutions and Services, EDAG)
- Christoph Schultheis (Head of Automation, EDAG)
- Dr. Frank Breitenbach (Moderator, Senior Expert Planning Methodology, EDAG)