Artificial intelligence deals with the ability of machines to simulate human mental competences.
AI can effectively boost the manufacturing sector, changing the strategies used to implement and tune productive processes by exploiting information acquired at real-time.
Industry 4.0 integrates critical technologies of control and computing.
In this talk, we discuss the integration of Knowledge Representation, Ontology modelling with Deep Learning
technology, with the aim of optimizing orchestration and dynamic management of resources.
We review Artificial Intelligence techniques used in Industry 4.0, and we show an adaptable and extensible
contextual model for creating context-aware computing infrastructures in IoT. We also address deep learning
techniques for optimizing manufacturing resources, assets management and dynamic scheduling. The application
of this model ranges from small embedded devices to high-end service platforms. The presented deep learning
techniques are designed to solve numerous critical challenges in Industrial and IoT Intelligence, such as
application adaptation, interoperability, automatic code verification, and generation of a device-specific
Flora Amato is a researcher in the field of Information Management. Her research activities
involve both theoretical and experimental work in Artificial Intelligence, Knowledge Management and Information
Integration. She performs her research activity as Associate Professor Tenure Track at the Department of Electrical Engineering and Information Technology of University of Naples Federico II where she works since 2006. She is Professor of Artificial Intelligence for the Master degrees in Computer Science and Electronic Engineering, Automation and Telecommunications, at Engineering Courses of the University of Napoli Federico II. She served as Chair of many International Scientiﬁc Conferences and Workshops. She is Editor of many International Scientific Journals.
She is author of more than 150 research papers, published on International Journals and Conferences Proceedings;
having more than 1400 citations with H-index of 24 (on Scopus). She participated, as Principal Investigator,
WP or Task coordinator, in many National and International projects.