Roadmap to Systematic Understanding of Artificial Intelligence Technology Development and Implementation: A Narrative Review of Frameworks, Platforms, Scenarios of Use and Empirical Guide
Abstract
One of the most significant inventions that have influenced both our daily lives and industrial operations is artificial intelligence (AI). Its quick development portends revolutionary effects in several areas, from cutting-edge businesses to regular people's lives. The current literature on technical understanding of what is required for AI development and implementation is fragmented across the existing studies. Nonetheless, there is still a shortage of systematic knowledge and comprehension regarding the AI implementation frameworks, techniques, tools, and scenarios of use (SoU). To contribute to the ongoing research efforts on the subject, the study conducted a narrative review using published resources from scholarly databases, such as IEEE, ACM, and Science Direct. 115 publications were found in well-chosen academic databases by the search to be eligible for further analysis intended for the study. The paper proposed an empirical guide towards implementing AI projects by AI stakeholders. The overall impact of the paper is that it emerges as a powerful tool for directing the whole AI continuum by both novice and experienced AI development schemes and stakeholders to approach the roadmap of developing and implementing AI initiatives. The paper offers systematic provision of direction towards any thought aiming at developing and implementing AI solutions.
