Systematic approach to creating innovative projects and products based on artificial intelligence applications
Year: 2025
Type: article
Abstract: The modern world is characterized by high volatility, uncertainty, complexity, and ambiguity (BANI – Brittle, Anxious, Nonlinear, Incomprehensible). In a BANI environment, traditional approaches to creating innovative projects and products often prove ineffective. Artificial intelligence (AI) has the potential to become a key success factor in the BANI world, but its application requires a systematic approach that takes into account the specifics of this environment. The relevance of this topic is driven by the fact that the BANI environment is becoming increasingly widespread, and companies that fail to adapt risk losing their competitiveness. The application of AI can help companies make more informed decisions, predict changes, and respond to them quickly. The aim of this study is to develop and justify a systematic approach to creating innovative projects and products based on the application of artificial intelligence in a BANI environment. The research employs methods of system analysis, modeling, and expert evaluation. The article proposes a systematic approach to creating innovative projects and products based on AI applications in the BANI environment, which includes the following stages – analysis of the BANI context, formulation of adaptive goals, selection of flexible AI technologies, development and testing of a prototype. The proposed systematic approach to creating innovative projects and products based on AI applications in the BANI environment enables companies to operate successfully under conditions of high volatility, uncertainty, complexity, and ambiguity. Conceptual and mathematical models of the systematic approach to developing innovative AI-based products and projects in the BANI environment have been constructed. The research results can be utilized by enterprises and organizations planning to develop and implement AI-based projects in the BANI environment.
Authors: Denys Bushuyev, Yevgen Lobok
Language: English
Subfield: Artificial Intelligence
Field: Computer Science
Domain: Physical Sciences
Open Access status: diamond
OpenAlex ID: W4409805402