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.
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.
Name: Konstantinos Perakis
Job title: Head of Data Science and Analytics R&D Unit
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.
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.
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.
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.
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.).
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.
Name: Óscar Lázaro
Job title: Managing Director
Organization: Innovalia Association
Bio: Dr. Oscar Lazaro is the Managing Director of Innovalia Association. Dr Oscar Lazaro has more than 15 years of experience in the ICT field and is leading research and product development activities of Innovalia for Smart Cities and Factories of the Future domains.
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.
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.
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.).
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.
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.
Name: Dr Serafeim Moustakidis
Job title: Co-founder / CTO
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.