Artificial intelligence, deep learning, machine learning, robotics and digital transformation: applications, implications and future

Artificial intelligence, deep learning, machine learning, robotics and digital transformation have revolutionized industries, while creating new opportunities together with challenges and implications in the society. This comprehensive survey explores the applications, prospects, problems, and future perspectives of artificial intelligence, deep learning, machine learning, robotics, and digital transformation in the contemporary society. The objectives of this research included to explore practical applications of these emerging technologies and industrial trends, examine the impact and potential opportunities of the technologies and innovations, assess the challenges and problems associated with implementation of such disruption technologies and transformations, and determine future trends and advancements through which the technologies can be utilized to achieve sustainable prospects. The research methodology involved collecting and analyzing relevant scholarly articles and reports from electronic journals, electronic books as well as Internet and web based information. First, this comprehensive search was conducted in academic databases such as Scopus, ACM Digital Library, and Google Scholar. Secondly, critical review was done based on vital information regarding applications of these technologies, problems faced in implementation, future prospects and advancements in the field. With the digital transformation, this research has significant implications since artificial intelligence, deep learning, machine learning and robotics are applied in various industries and economies. Applications of these technologies in healthcare, manufacturing and transportation, climate adaptation and agriculture, business and trade, information science and computing as well information communication technology have led to improved efficiency, accuracy, and decision-making. By leveraging the capabilities of these technologies, significant progress has been made towards achieving sustainability and combating climate change challenges. Additionally, artificial intelligence, deep learning, machine learning, robotics, and digital transformation have profound implications for employment patterns, job skills, and workforce dynamics. Developments and connections in these emerging and disruption technologies present tremendous opportunities for humanities, organizations, industries and broad societies.