Communication Intelligence is an expeditiously growing and promising interdisciplinary field of research that revolutionary paradigms in various communication models and applications. Communication intelligence is derived from electronic intelligence and it develops the communication medium for more secure and reliable transmission between the users. The convergence of communication intelligence and data computing produces the latest trends and technology in the research field. The advanced data computing and data analysis methods help to understand and solve various real-world complexities. Recently, with the development of various cognitive-inspired computing and smart interactive computing models and algorithms has gained the potential to enable a large scale of smart computing applications. Hence the recent advances in computing technologies have opened up new windows for research in various fields of data computing and communication intelligence. The goal is to bring together the recent advances in communication intelligence, data computing models, algorithms and simulations to analyse and optimize various complex problems. This conference aims to create a new discipline in communicational intelligence and data computing by combining contemporary computational methods, data communication, software engineering, machine learning, communicational intelligence, simulations and ancillary technologies to address complexities in advanced computing applications in a smart way which is far beyond the scope of traditional data computing methods and technologies. The International Conference on Innovative Data Communication Technologies and Application (ICIDCA 2023), is an international forum on the theory, design, analysis, implementation and application of distributed systems and networks. We solicit papers in all areas of distributed computing. Papers from all viewpoints, including theory, practice, and experimentation, are welcome. The common goal of the conference is to improve understanding of the principles underlying distributed computing.