Simply supplying or operating highly productive and reliable machines, systems, or components will no
longer be sufficient as a distinguishing feature and basis for business success in the future. In addition to
traditional hardware-related skills, factory operators and their equipment suppliers must quickly learn and
master comprehensive skills to make effective use of new methods and tools such as artificial intelligence
(AI) and machine learning (ML), digital twins, and data ecosystems/data spaces. This will not be successful
on its own: only in cooperation with like-minded partners across the entire value creation network, where
everyone plays to their strengths, can AI models create added value for all involved partners.
Industrial AI and data ecosystems: two sides of the same coin. Article by Dr. Olaf Sauer, Fraunhofer Institute of Optronics, System Technologies and Image Exploitation, Karlsruhe
