In this paper, attention is focused on the development of intelligent technologies in recent years, such as neural networks, deep learning, and artificial intelligence. In nowadays, interactive technologies have a major effect on the media and society. Mobile companies, social networks, various computer applications, smart devices constantly collect data for people without they know it and they are used to develop intelligent software systems to predict future behaviour. The article also describes some models of building an interactive space using new technologies, considering the trends in the development of information ecology. This research also analyses the following very important topics related to interactive technology, and intelligent systems: conversation in the interactive space, smart communications, big data and analytical techniques, mobile technology and some aspects of communication problems in the 21st century. 95Advances in Journalism and Communication ready been created. Another problem is the standardization of smart sites or it is one of the most important factors in the development of technology. Intelligent systems are characterized by a huge number of devices, applications of many manufacturing companies with different specializations. With the help of standardization, on the part of manufacturers and system equipment, a new Internet system should be built. The more one technology is standardized, the greater of

In this article we discuss the role of mobile communications in the business and media and howthe mobile computing, tools and applications change the world and behaviour of the people.Based on a series of analysis and observation show some tendencies for development ofmobile technology Internet role of the media in these processes.

In this article, I discuss problems associated with new technologies, digital communications and the future of analog interaction models. I also analyze the development possibilities of artificial intelligence and neural networks based on analog computhttping systems. The transformation today, involves a radical change in existing models and the rediscovery of the benefits of some traditional approaches, which in another context can be much more effective than existing information and digital tools. In this case, it is the analog approaches of quantum computing in combination with new technologies that lead to better results, development of society and the creation of a more human environment.

The study focuses on the semantic aspects of information, the role of cognitive technologies in the time of information defense, the emergence of new concepts related to information security and protection, cybersecurity, and resilience. It can be argued that information is a complex quantity; measuring information means measuring complexity. Artificial intelligence and problem areas related to this area are also the subject of analysis. We are also looking for an answer to the link between cybernetics and cyber technology and to the popular term “cyber” that has recently become buzzword. Another aspect of the study is various models of data structuring and information protection from the point of view of modern strategies.

This report discusses the role of information domain and cognitive technologies in emergency management in the context of the global pandemic problems, which is also caused by a lack of leader’s capacity, knowledge transfer, lack of major investments in the security and health systems. Global emergency response plans should be based on the “artificial” reality of our planetary condition and used as a starting point for planning. Innovative companies are trying to take advantage of cognitive technologies to automate processes to solve a wide range of problems that require specific knowledge. The main aspects of knowledge are related to the so-called „P” categories (Perceive, Perception, Predict) of our critical environment and data input to such systems coming from sensors and smart elements. The new model for effective reactions in crisis refers to cognitive technologies, which, if available use an aesthetic language, generate unstructured texts, process information, used sensors for data in real-time, reading signals, access to “smart objects” and other algorithmic approaches for searching of solutions in extreme situations. The cognitive technologies used during contingency planning is oriented towards the further development of AI in order to improve the performance of machines in terms of intuition, sensitivity, emotions, and other factors that enhance the planning and decision-making tasks.