Artificial intelligence and machine learning research: towards digital transformation at a global scale

Akila Sarirete, Zain Balfagih, Tayeb Brahimi, Miltiadis D. Lytras, Anna Visvizi
2021 Journal of Ambient Intelligence and Humanized Computing  
Artificial 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 Lytras et al. , 2019 . Considering that
more » ... achine 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, requires multidisciplinary research and research agenda on AI and ML (Lytras et al. 2021; Visvizi et al. 2020; Chui et al. 2020) . Such a research agenda should oscilate around the following five defining issues (Fig. 1) : (1) Integration of diverse data-warehouses to unified ecosystems of AI and ML value-based services (2) Deployment of robust AI and ML processing capabilities for enhanced decision making and generation of value our of data. (3) Design of innovative novel AI and ML applications for predictive and analytical capabilities (4) Design of sophisticated AI and ML-enabled intelligence components with critical social impact (5) Promotion of the Digital Transformation in all the aspects of human activity including business, healthcare, government, commerce, social intelligence etc. Such development will also have a critical impact on government, policies, regulations and initiatives aiming to interpret the value of the AI-driven digital transformation to the sustainable economic development of our planet. Additionally the disruptive character of AI and ML technology and research will required further research on business models and management of innovation capabilities. This special issue is based on submissions invited from the 17th Annual Learning and Technology Conference 2019 that was held at Effat University and open call jointly. Several very good submissions were received. All of them were subjected a rigorous peer review process specific to the Ambient Intelligence and Humanized Computing Journal. A variety of innovative topics are included in the agenda of the published papers in this special issue including topics such as: • Stock market Prediction using Machine learning •
doi:10.1007/s12652-021-03168-y fatcat:2uibymovvncxth66ilqr6utmyq