{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,5,7]],"date-time":"2026-05-07T15:36:32Z","timestamp":1778168192689,"version":"3.51.4"},"reference-count":55,"publisher":"MDPI AG","issue":"12","license":[{"start":{"date-parts":[[2022,6,14]],"date-time":"2022-06-14T00:00:00Z","timestamp":1655164800000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0\/"}],"funder":[{"name":"Programme Erasmus+, Knowledge Alliances, Application","award":["621639-EPP-1-2020-1-IT-EPPKA2-KA"],"award-info":[{"award-number":["621639-EPP-1-2020-1-IT-EPPKA2-KA"]}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["Sensors"],"abstract":"<jats:p>Industry 4.0 corresponds to the Fourth Industrial Revolution, resulting from technological innovation and research multidisciplinary advances. Researchers aim to contribute to the digital transformation of the manufacturing ecosystem both in theory and mainly in practice by identifying the real problems that the industry faces. Researchers focus on providing practical solutions using technologies such as the Industrial Internet of Things (IoT), Artificial Intelligence (AI), and Edge Computing (EC). On the other hand, universities educate young engineers and researchers by formulating a curriculum that prepares graduates for the industrial market. This research aimed to investigate and identify the industry\u2019s current problems and needs from an educational perspective. The research methodology is based on preparing a focused questionnaire resulting from an extensive recent literature review used to interview representatives from 70 enterprises operating in 25 countries. The produced empirical data revealed (1) the kind of data and business management systems that companies have implemented to advance the digitalization of their processes, (2) the industries\u2019 main problems and what technologies (could be) implemented to address them, and (3) what are the primary industrial needs and how they can be met to facilitate their digitization. The main conclusion is that there is a need to develop a taxonomy that shall include industrial problems and their technological solutions. Moreover, the educational needs of engineers and researchers with current knowledge and advanced skills were underlined.<\/jats:p>","DOI":"10.3390\/s22124501","type":"journal-article","created":{"date-parts":[[2022,6,15]],"date-time":"2022-06-15T01:39:54Z","timestamp":1655257194000},"page":"4501","update-policy":"https:\/\/doi.org\/10.3390\/mdpi_crossmark_policy","source":"Crossref","is-referenced-by-count":33,"title":["Industrial Needs in the Fields of Artificial Intelligence, Internet of Things and Edge Computing"],"prefix":"10.3390","volume":"22","author":[{"ORCID":"https:\/\/orcid.org\/0000-0002-4516-7926","authenticated-orcid":false,"given":"Dorota","family":"Stadnicka","sequence":"first","affiliation":[{"name":"Faculty of Mechanical Engineering and Aeronautics, Rzesz\u00f3w University of Technology, 35-959 Rzeszow, Poland"}]},{"given":"Jaros\u0142aw","family":"S\u0119p","sequence":"additional","affiliation":[{"name":"Faculty of Mechanical Engineering and Aeronautics, Rzesz\u00f3w University of Technology, 35-959 Rzeszow, Poland"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-4704-8020","authenticated-orcid":false,"given":"Riccardo","family":"Amadio","sequence":"additional","affiliation":[{"name":"Computer Science Department, University of Pisa, 56127 Pisa, Italy"}]},{"given":"Daniele","family":"Mazzei","sequence":"additional","affiliation":[{"name":"Computer Science Department, University of Pisa, 56127 Pisa, Italy"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-4903-3204","authenticated-orcid":false,"given":"Marios","family":"Tyrovolas","sequence":"additional","affiliation":[{"name":"Laboratory of Knowledge and Intelligent Computing, Department of Informatics and Telecommunications, University of Ioannina, 47150 Arta, Greece"}]},{"given":"Chrysostomos","family":"Stylios","sequence":"additional","affiliation":[{"name":"Laboratory of Knowledge and Intelligent Computing, Department of Informatics and Telecommunications, University of Ioannina, 47150 Arta, Greece"},{"name":"Industrial Systems Institute, Athena Research Center, 26504 Patras, Greece"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-7257-3081","authenticated-orcid":false,"given":"Anna","family":"Carreras-Coch","sequence":"additional","affiliation":[{"name":"Research Group in Internet Technologies & Storage, La Salle Campus Barcelona, Universitat Ramon Llull, 08022 Barcelona, Spain"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-5661-2231","authenticated-orcid":false,"given":"Juan Alfonso","family":"Merino","sequence":"additional","affiliation":[{"name":"Systems Department (257), Elecnor Servicios y Proyectos S.A.U., Carrer d\u2019Antonio de los Rios Rosas, 40, 08940 Cornell\u00e0 de Llobregat, Spain"}]},{"given":"Tomasz","family":"\u017babi\u0144ski","sequence":"additional","affiliation":[{"name":"Faculty of Electrical and Computer Engineering, Rzesz\u00f3w University of Technology, 35-959 Rzeszow, Poland"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-3916-9279","authenticated-orcid":false,"given":"Joan","family":"Navarro","sequence":"additional","affiliation":[{"name":"Research Group in Internet Technologies & Storage, La Salle Campus Barcelona, Universitat Ramon Llull, 08022 Barcelona, Spain"}]}],"member":"1968","published-online":{"date-parts":[[2022,6,14]]},"reference":[{"key":"ref_1","unstructured":"Schwab, K. 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