Mobile Data Science and Intelligent Apps: Concepts, AI-Based Modeling and Research Directions

Artificial intelligence (AI) techniques have grown rapidly in recent years in the context of computing with smart mobile phones that typically allows the devices to function in an intelligent manner. Popular AI techniques include machine learning and deep learning methods, natural language processing, as well as knowledge representation and expert systems, can be used to make the target mobile applications intelligent and more effective. In this paper, we present a comprehensive view on "mobile data science and intelligent apps"in terms ofconceptsandAI-based modeling thatcan be used to design and develop intelligent mobile applications for the betterment of human life in their diverse day-to-day situation. This study also includes the concepts and insights of variousAI-powered intelligent appsin several application domains, ranging from personalized recommendation to healthcare services, including COVID-19 pandemic management in recent days. Finally, we highlight severalresearch issues and future directionsrelevant to our analysis in the area of mobile data science and intelligent apps. Overall, this paper aims to serve as areference point and guidelinesfor the mobile application developers as well as the researchers in this domain, particularly from the technical point of view.