The Challenges of Trust, Interoperability and Autonomy in Industry 4.0
In the strongly dynamic context of digitization, the current data revolution and increasing automation of cognitive tasks are raising challenging issues related to:
- interoperability of data, things and services in the increasingly open and geographically distributed industrial ecosystems,
- efficient processing of the big amount of data generated by distributed production and business processes supported by IoT,
- consistent and coordinated autonomous decisions and activities undertaken by fine-grained (machines, robots, humans) to coarse-grained (workshop, enterprises) entities in decentralized and open ecosystems.
In order to build a trustworthy and intelligent open infrastructure for the future, it is important to enhance the set of methods and to increase research in the domain of Artificial Intelligence on the one hand, and to foster education, development and cross-fertilization efforts with the actors of Industry 4.0 on the other hand.
The Workshop on the Challenges of Trust, Interoperability and Autonomy in Industry 4.0 is the first in a series of coordinated events aiming at investigating how Artificial Intelligence technologies can tackle the challenging issues of Industry of the future with respect to interoperability, data processing and autonomy, thus contributing to a trustful and responsible intelligent infrastructure. The key objective is to prototype and review solution approaches to actual problems. This event series is closely aligned with cutting-edge R&D activities including the Boost 4.0 European lighthouse project for big data technology in manufacturing.
For more info, please visit the FRAUNHOFER IAIS website.
