Technical and Socio-Business assessments of AI Maturity in pilots of Explainable AI The EU-funded XMANAI project focuses on Explainable AI, as the

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.

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 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.

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.