Artificial Intelligence, Machine Learning and Deep Learning (Literature: Review and Metrics)

Nowadays the ‘Artificial Intelligence (AI)’ research phenomena is exponentially growing due to its immense applications in all disciplines. That is why all the business corporates are in development of AI products and services in a bigger way. The humanoid robot Sophia, supply chain logistics drones, the Amazon voice recognition Alexa, and Tesla’s self-driving cars are some of the AI and its sister technological footprints in our life. Hollywood movies also witnessed the inevitable role of AI and its solicitations in human life. Hence, to provide quality of life to human beings as well as quality of service in professional life, there need to be more AI innovative solutions. As the concept is contemporary, the study comes under exploratory study however, data have been collected from online databases including Web of Science, Scopus, EBSCO and Google Scholar. The aim of this research paper is to give an overview of AI and its sister technologies of Machine Learning and Deep Learning. Through an in-depth literature review, the manuscript explored many business applications of these technologies. The study revealed that AI, ML and DL applications are exponentially growing in many sectors including banking, insurance, healthcare, e-commerce, social media networking and transportation to name a few. Moreover, the authors also provided VOSviewer’s functionality for displaying bibliometric maps on AI, ML and DL literature analysis. This shows the importance of the phenomenon, authors, countries, journals and year of publications.