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 of concepts and AI-based modeling that can 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 various AI-powered intelligent apps in several application domains, ranging from personalized recommendation to healthcare services, including COVID-19 pandemic management in recent days. Finally, we highlight several research issues and future directions relevant to our analysis in the area of mobile data science and intelligent apps. Overall, this paper aims to serve as a reference point and guidelines for the mobile application developers as well as the researchers in this domain, particularly from the technical point of view.

近年来，在使用智能手机进行计算的背景下，人工智能（AI）技术得到了快速发展，智能手机通常允许设备以智能方式运行。流行的AI技术包括机器学习和深度学习方法，自然语言处理以及知识表示和专家系统，可用于使目标移动应用程序变得智能和高效。在本文中，我们从概念和基于AI的建模方面全面介绍了“移动数据科学和智能应用”可用于设计和开发智能移动应用程序，以改善他们在各种日常情况下的生活。这项研究还涵盖了几个应用领域中各种基于AI的智能应用的概念和见解，范围从个性化推荐到医疗保健服务，包括最近几天的COVID-19大流行管理。最后，我们重点介绍了与我们在移动数据科学和智能应用程序领域的分析相关的几个研究问题和未来方向。总体而言，本文旨在作为移动应用程序开发人员以及该领域研究人员的参考点和指南，尤其是从技术角度而言。