Show simple item record

dc.contributor.authorSarirete, Akila
dc.contributor.authorbalfagih, zain
dc.contributor.authorBrahimi, Tayeb
dc.contributor.authorLytras, Miltiadis
dc.contributor.authorVisvizi, Anna
dc.date.accessioned2023-04-29T12:03:22Z
dc.date.available2023-04-29T12:03:22Z
dc.date.issued2021-04-17
dc.identifier.urihttp://hdl.handle.net/20.500.14131/723
dc.descriptionArtificial intelligence (AI) is reshaping how we live, learn, and work. Until recently, AI used to be a fanciful concept, more closely associated with science fiction rather than with anything else. However, driven by unprecedented advances in sophisticated information and communication technology (ICT), AI today is synonymous technological progress already attained and the one yet to come in all spheres of our lives (Chui et al. 2018; Lytras et al. 2018, 2019). Considering that Machine Learning (ML) and AI are apt to reach unforeseen levels of accuracy and efficiency, this special issue sought to promote research on AI and ML seen as functions of data-driven innovation and digital transformation. The combination of expanding ICT-driven capabilities and capacities identifiable across our socio-economic systems along with growing consumer expectations vis-a-vis technology and its value-added for our societies …en_US
dc.description.abstractArtifcial intelligence (AI) is reshaping how we live, learn, and work. Until recently, AI used to be a fanciful concept, more closely associated with science fction rather than with anything else. However, driven by unprecedented advances in sophisticated information and communication technology (ICT), AI today is synonymous technological progress already attained and the one yet to come in all spheres of our lives (Chui et al. 2018; Lytras et al. 2018, 2019). Considering that Machine Learning (ML) and AI are apt to reach unforeseen levels of accuracy and efciency, this special issue sought to promote research on AI and ML seen as functions of data-driven innovation and digital transformation. The combination of expanding ICT-driven capabilities and capacities identifable across our socio-economic systems along with growing consumer expectations vis-a-vis technology and its value-added for our societies, requires multidisciplinary research and research agenda on AI and ML (Lytras et al. 2021; Visvizi et al. 2020; Chui et al. 2020).en_US
dc.titleArtifcial intelligence and machine learning research: towards digital transformation at a global scaleen_US
dc.source.journalJournal of Ambient Intelligence and Humanized Computingen_US
refterms.dateFOA2023-04-29T12:03:22Z
dc.contributor.researcherCollege collaborationen_US
dc.contributor.labArtificial Intelligence & Cyber Security Laben_US
dc.subject.KSAICTen_US
dc.source.indexScopusen_US
dc.contributor.departmentComputer Scienceen_US
dc.contributor.firstauthorSarirete, Akila


Files in this item

Thumbnail
Name:
s12652-021-03168-y.pdf
Size:
320.0Kb
Format:
PDF

This item appears in the following Collection(s)

Show simple item record