OPPORTUNITIES FOR USING AI IN ORGANIZATIONAL DECISION-MAKING SYSTEMS

Аннотация

This article explores the opportunities for using artificial intelligence technologies in decision-making systems within modern organizations. It analyzes the key components ofAI, technological approaches, and their contributions to organizational activities. In particular, it discusses the automation of decision-making, deep data analysis, and the application of AI in strategicmanagement, supported byexamples. Additionally, thearticle addresses potential risks, as well as technical and ethical issues that may arise alongside the benefits of artificial intelligence. Keywords.Artificial intelligence, decision-making, machine learning, automation, organizationalmanagement, cybersecurity. Introduction. In today’s era of digital transformation, organizations must possess the ability to make decisions quickly and efficiently. From this perspective, decision-making systems are of particular importance. Such systems enable organizations to perform real-time data-based analysis, forecasting, and strategic planning. Artificial intelligence technologies are taking this process to a new level by automating, optimizing, and reducing human error. This article provides a comprehensive analysis of the integration of these technologies into organizational activities, theirtools,areas of application, as well as theiradvantages andpotential risks. Structure of Decision-Making Systems and the Integration of Artificial Intelligence. Decision-making systems typically consist of four main components: a database, a knowledge base, an inference engine, and a user interface. The database stores all information related to organizational activities, while the knowledge base contains expert knowledge and rules. The inference engine generates new decisions based on the available data, and the interfaceensures effective interaction with theuser. By integrating artificial intelligence into these systems, the decision-making process becomes automated, predictive, and capable of recommending optimal solutions based on complex analyses. For instance, AI algorithms can achieve high accuracy in tasks such as employee selection, financial planning, or risk identification. This reduces human error and significantly improves operational efficiency. Artificial Intelligence Tools and Technologies Artificial intelligence (AI) technologies play a crucial role in automating data processing, analysis, and strategic decision-making processes within organizations. Among these technologies, machine learning is one of the most fundamental tools, enabling systems to learn from existing data, identify patterns, and make autonomous decisions. Through machine learning, statistical analyses, probability estimations, and forecasts can be performed with higher accuracy. page743 INTERNATIONAL JOURNAL OF ARTIFICIAL INTELLIGENCE ISSN:2692-5206,ImpactFactor:12,23 AmericanAcademicpublishers,volume05,issue07,2025 Journal: https://www.academicpublishers.org/journals/index.php/ijai Deep learning, based on complex neural networks, allows for the deep analysis of large-scale and complex information such as images, audio, text, and video using multi-layered models. Thistechnology iswidely applied in healthcare, security, transportation, and manyotherfields. Expert systems replicate the experience of human specialists by forming a knowledge base and using it through algorithmic methods to solve complex problems. These systems typically serve as decision-making aids oreven substitutes forhuman experts in specific contexts. Natural Language Processing (NLP) is another important branch of AI, enabling computer systems to understand, interpret, and generate responses based on both written and spoken language. This technology is widely used in chatbots, virtual assistants, automated translation services, and document processing. In addition, OLAP (Online Analytical Processing) technologies provide capabilities for multi- dimensional data analysis and visualization. These tools support organizational leaders in makingtimely andwell-informed strategic decisions based onin-depth analysis. These technologies can be seamlessly integrated into various organizational domains, effectively enhancing operational efficiency, implementing recommendation systems, forecasting risks, and personalizing userexperiences. Key Areas of ArtificialIntelligence Application The practical application of artificial intelligence (AI) technologies is increasingly evident across a wide range of fields. In each area, AI delivers notable results by effectively automatingand enhancing traditional methods. In the financial sector, AI is successfully used to accurately assess creditworthiness, automatically detect fraud, and manage investment portfolios in real time. Banks and insurance companies apply AI tools to proactively identify financial risks, reduce operational costs, and improveservice quality. In marketing, AI enables the segmentation of customers, personalized recommendations of products or services