Channel Manager Central and Eastern Europe at GE Digital, Germany
Thomas Schulz studied mechanical engineering at the Budapest University of Technology. During his various roles in different companies he has acquired in-depth knowledge and extensive experience in digital transformation projects in manufacturing and process industry. Since January 2010 he is responsible for the ecosystem in the German speaking region (D-A-CH) as well as Central and Eastern Europe in the GE Digital division at General Electric (GE).
As a long-standing, active member of the German platform Industry 4.0, he is author and co-author of numerous publications, e.g. the Reference Architecture Model Industry 4.0 (RAMI 4.0). As Editor of two Industry 4.0 technical books, Thomas Schulz, along with 50 other top-class authors, summarizes recognized specialist knowledge and practical applications in order to make the knowledge base of digitization in industry easier for the reader.
Session: Analytics in Smart Manufacturing and Increasing performance and productivity with AI
Artificial Intelligence (AI) for industry 4.0-based applications
In addition to the availability of generated data, technical expertise, domain knowledge and system know-how are of crucial importance for the successful use of AI algorithms. Forecasting and what-if analysis uses scenario analysis and planning to help manufacturing operations achieve the best outcomes for their businesses. These solutions utilize sophisticated digital twin models to drive planning scenarios that reflect plant and actual site performance.
- Artificial Intelligence (AI) in Smart Factories
- Analytics software solution-development environment
- Five Smart Capabilities for Smart Manufacturing
- Customer use cases and outcome
Additional information and Smart Industry & Digital Factory Technology Conference programme – here