La version alpha de la Release 17.0 d’ECLASS est désormais disponible pour les tests
La version alpha de la Release 17.0 d’ECLASS a été finalisée et peut désormais être testée par la communauté ECLASS. Cette étape marque une nouvelle phase importante du processus de release : les membres des instances concernées, les groupes d’experts, les prestataires de services informatiques ainsi que la communauté des développeurs sont invités à examiner les livrables sous l’angle technique et général et à transmettre leurs retours.
Interview: AI-Powered Mapping Between ETIM and ECLASS – A Milestone for Semantic Standardization
The ECLASS association has finished the initial version of an innovative, AI-driven mapping between the two leading standards, ETIM and ECLASS. In this interview, Thorsten Kroke discusses the project’s background, its underlying technology and how artificial intelligence is transforming the work of subject matter experts.
COMDO: A Common Semantics Framework for Unambiguous Product Descriptions
Unambiguous, machine-readable product information is essential for interoperability and automated processes. A new technical article from the DKE explains how the COMDO project involves ISO, IEC, and ECLASS working together on a common semantic foundation.
Partnership for better Data and Digital Twins
D&TS and complement are joining forces to help companies build usable digital twins. They are focusing on combining master data quality, ECLASS-compliant classification, and AAS technology.
Further News
Digital Product Passport: Laying the Groundwork now with structured Product Data
Many companies are not yet sufficiently prepared for the Digital Product Passport. In an interview with QRNow, Thorsten Kroke explains why companies should not wait for the EU to release all of its detailed requirements, and he discusses the role of clear semantic standards in the implementation process.
From Data Chaos to Data Intelligence
Material master data is the foundation of countless business processes – yet it often remains one of the biggest challenges for organizations. Inconsistent descriptions, duplicate records, and missing classifications create significant manual effort and reduce data quality. With the eptos™ AI Classification Engine, Paradine brings artificial intelligence to master data management, transforming fragmented data into a reliable, company-wide source of truth.
Furniture X Meets at ECLASS: Building Bridges for the Furniture Industry’s Digital Supply Chain
On June 3, 2026, the initiators of Furniture X and an expanded expert council convened at the German Economic Institute in Cologne. They discussed networking with other X initiatives, interoperability along the supply chain, and the role of ECLASS as the standard language for product descriptions in the Digital Product Passport (DPP).
Siemens Energy creates a “Single Source of Truth” with Paradine and ECLASS
Data is the foundation of modern industrial companies. In practice, however, inconsistent material master data across system boundaries often hinders efficiency. Siemens Energy’s Steam Turbines and Generators division is setting new standards in this area: Using Paradine’s eptos™ Master Data Management System and classification based on the ECLASS standard, the company has created a central, cross-system data source.