Partner Spotlight – CNH Industrial
Name: Claudia Campanella
Job title: Manager of Ergonomics-HMI-VR-AR
Organization: CNH Industrial
Bio: Claudia Campanella graduated in Industrial Design at the Polytechnic of Turin, realizing a thesis in physical ergonomics. She started working at Fiat Auto in 2000 and at the same time, she attended the Master in Ergonomics in which she created a thesis in cognitive ergonomics.
Industrial Asset Graph Modelling in XMANAI
In the Industrial sector specifically, graph networks can describe pathways of IoT devices and sensor networks (Aggarwal, et al., 2017) in the framework of predictive maintenance, or represent associations between resources, daily workload and production in decision-making and dynamic scheduling problems (Hu, et al., 2020).
XMANAI Validation Environment for AI Models
The Explainable AI (XAI) in Manufacturing (XMANAI) project aims to provide a framework for the development and deployment of AI models in the manufacturing industry.
zExplAIn, Improving Manufacturing Processes with Explainable AI
In the new era of Industry 4.0, AI systems are becoming increasingly prevalent and cost-effective. With the ability to analyze vast amounts of data, factories can reduce expenses, boost productivity, and minimize waste.
XMANAI partner spotlight – Deep Blue
Name: Linda Napoletano
Job title: Head of the Manufacturing Area
Organization: Deep Blue srl
Bio: Linda Napoletano holds a Ph.D. in Human-Computer Interaction. Since 2002, she has been working on EU-co-funded projects aiming at designing and validating humans integration and interactions into highly innovative processes.
Technical and Socio-Business assessments of AI Maturity in pilots of Explainable AI
Technical and Socio-Business assessments of AI Maturity in pilots of Explainable AI The EU-funded XMANAI project focuses on Explainable AI, as the ability to make machine decision-making processes understandable; Explainability has proven to be a key element in stimulating the adoption of AI in various areas because it provides transparent and understandable information about algorithmic […]
XMANAI partner spotlight – UNIMETRIK
Name: Aitor San Vicente
Job title: General Manager
Organization: UNIMETRIK
Bio: Expert in advanced industrial metrology services, Aitor has extensive experience both in the field of advanced manufacturing processes, mainly in the die-cutting and stamping sector, and in the development of quality control and digitalization solutions and strategies.
AI Algorithms Lifecycle Management and Collaboration
In XMANAI we have set out to develop robust and insightful AI pipelines that can assist manufacturers in their everyday operations and decision-making processes. To achieve our goal, we are creating a collaborative environment in which the explainability of the ML models’ decisions lies at the heart of our AI pipelines design, development and roll out. Needless to say, in order for these AI pipelines to be properly configured, trained, evaluated, deployed and applied, constantly monitored, assessed and refined as needed, numerous other processes need to be in place.
XMANAI partner spotlight – Knowledgebiz
Name: Carlos Agostinho
Job title: Dissemination Manager and Company Responsible
Organization: Knowledgebiz, Lda
Bio: Carlos Agostinho is a senior researcher at UNINOVA (www.uninova.pt) and a digital transformation expert.
XMANAI partner spotlight – UBITECH
Name: Konstantinos Perakis
Job title: Head of Data Science and Analytics R&D Unit
Organization: UBITECH
Bio: Dr. Konstantinos Perakis was born in Athens, Greece in 1979. He received his diploma in Electrical & Computer Engineering from the National Technical University of Athens in October 2003.
A First Glimpse into the XMANAI platform
The first official release of the XMANAI Platform, namely Alpha Version, has been successfully delivered for early assessment by the XMANAI stakeholders on July 2022 (M21) as planned.
XMANAI partner spotlight – Whirlpool
Name: Enrica Bosani
Job title: Manufacturing R&D manager
Organization: Whirlpool management EMEA
Bio: Enrica Bosani, electronic engineer in Whirlpool since 1994, started her careers in the factory automation supporting shop floor monitoring and control systems deployment in EMEA factories.
Overview requirements
To ensure that the XMANAI Platform meets the requirements of the different stakeholders (Data Scientist, Data Engineer and Business Expert) an agile methodology is implemented for requirements elicitation, promoting interactive sessions with the XMANAI partners.
XMANAI partner spotlight – Athena Research Center
Name: Theodore Dalamagas
Job title: Research Director
Organization: Athena Research Center
Bio: Theodore Dalamagas is Research Director, Vice Director of Information Management Systems Institute at Athena Research Center, co-founder and Chief Technology Officer of Symbiolabs (spinoff of Athena R.C.).
Industrial Assets Provenance in XMANAI
The provenance of data is of high relevance due to the massive increase of data generated these days. Provenance not only plays a proper role for the web and its data, but the topic has also arrived at the analogue world.
