The Draft Catalogue of XMANAI XAI Models

Glass box model

A draft selection of Hybrid XAI models, able to address concrete manufacturing use cases, will populate the XMANAI Models Catalogue as an integral part of the XMANAI platform. Following the Explainable AI paradigm that lies in the core of the project, “black box” models are transformed into “glass box” solutions via coupling to additional explainability layers.

A Matter of Quality! Data for Trustworthy AI in Manufacturing

A Matter of Quality! Data for Trustworthy AI in Manufacturing

A Matter of Quality! Data for Trustworthy AI in Manufacturing Last month Data Week 2022 organized a virtual event where it talked about A Matter of Quality! Data for Trustworthy AI in Manufacturing. In the Smart Manufacturing Industry, there are three scenarios related to Data Spaces: the Smart Autonomous Factory pathway, Hyperconnected Factory pathway, and Collaborative, Product-Service […]

5th XMANAI´s General Assembly


5th XMANAI´s General Assembly After 18 months, XMANAI has the 1st hybrid General Assembly at POLIMI and most of the consortium is finally meeting in person. On the second day of the meeting, we will enter deep into the XAI Catalogue Status & Planning, as well as the progress of our pilot demonstrators.

XMANAI´s Evaluation Framework


XMANAI has just finalised its Evaluation Framework to measure the impact that the XMANAI platform will have on the demonstrators! The assessment will be completed at the end of the project to evaluate the platform from a technical and business perspective, measuring how the production and decision-making processes evolved.

XMANAI partner spotlight – Suite5

XMANAI partner spotlight_Suite5

Name: Dr. Fenareti Lampathaki
Job title: Technical Director
Organization: Suite5 Data Intelligence Solutions Limited
Bio: Fenareti Lampathaki (female) holds a Ph.D. Degree and a Diploma – M.Eng. Degree in Electrical and Computer Engineering (Spec.: Computer Science) from the National Technical University of Athens (NTUA) and M. Sc. Degree in Techno-Economics (M.B.A.).

XMANAI Reference Architecture: Perspectives

Thumbnail XMANAI

The XMANAI reference architecture aims at providing the basis for the detailed specification, development and integration activities of the overall XMANAI platform along its Data and AI related Services Bundles, its XAI Algoritmms and Models Catalogue, and the different Manufacturing Apps.

Security Aspects of Industrial Data Management

Security aspects_Thumbnail

In the new digital world where tremendous amount of information is generated from the increasing number of data sources, the emerging need for security and privacy techniques, methods and solutions has been raised.

XMANAI partner spotlight – AiDEAS

AiDEAS partner spotlight

Name: Dr Serafeim Moustakidis
Job title: Co-founder / CTO
Organization: AiDEAS
Bio: Dr Serafeim Moustakidis has wide experience in computational intelligence, machine learning and data processing with more than 12 years of research experience in various fields.

What is the XMANAI Minimum Viable Product (MVP)?


In XMANAI, the exploration of the Explainable AI landscape, the analysis of the business requirements from its 4 demonstrators and the elicitation of the technical requirements have culminated with the definition of the Minimum Viable Product (MVP).

Industrialization approaches to explainability in manufacturing


Industrialization approaches to explainability in manufacturing Yesterday’s Digital Factory Alliance (DFA) event XMANAI played an important role being the central point of discussion. From the Industrial Advisory Board, we had the pleasure to receive feedback from Chris Decubber (EFFRA), Michela Magas (Innovation advisor for EC and G7 leaders), and from sister project STAR, John Soldatos […]