Ключевое слово: «forecasting»

For more than two decades, TRIZ specialists and developers of IT systems have been search-ing for efficient application of methodological tools in the field of software and hardware development. To date, there is a qualified understanding of when and how the use of TRIZ tools can be effective and fundamentally new. It often happens that such an application directly depends on the formulation of tasks at the business level in IT projects. In this paper, on the one hand, four approaches are identified that differ in the nature of interaction between TRIZ and IT systems, and on the other, business tasks are identified and under what conditions certain tools can be most in demand by the IT development community. The problems and potential of TRIZ application for each of the main information objects of IT systems are considered (Structures and diagrams, interfaces, platforms and systems, hardware architecture, process management\network traffic\big data, algorithms and semantics). Also, a study was conducted on the possibilities of methodological and instrumental integration with specialized technologies in IT systems, similar in their properties to a number of modern TRIZ tools (functional analysis of components and processes, flow analysis), so that their application in this area would be the most productive, would allow to develop and streamline the creative potential of teams developing modern software and hardware solutions and artificial intelligence systems. The article also provides examples and tasks for a better understanding of the specifics of objects and parameters by specialists from other industries. In the final part of the article, the importance of the considered issues is supported by the initiative of the organizing committee of the TRIZ Developers Summit to form research workgroups, in accordance with the previously identified four approaches of interaction between TRIZ and IT systems.

This research explores the transformative role of artificial intelligence (AI) in the gaming industry, covering diverse facets from content generation and graphics evolution to in-game world creation and personalized gaming experiences. Examining the impact of AI on multiplayer interactions, technological changes in game development, and forecasting trends, the study aims to provide insights into the future of the entertainment industry. Ethical considerations related to AI implementation in gaming are also discussed. The research underscores the significance of predicting trends for industry development and suggests directions for future research in the evolving landscape of AI and gaming.