СУЧАСНІ КОНЦЕПЦІЇ ТА МЕТОДИ ДОСЛІДЖЕННЯ ШТУЧНОГО ІНТЕЛЕКТУ В СИСТЕМАХ УПРАВЛІННЯ ПІДПРИЄМСТВОМ

Intelligent automation has become a key part of using artificial intelligence (AI) in managing businesses, changing the way companies operate. By combining machine learning, robotic process automation (RPA), and advanced analytics, intelligent automation helps automate both simple tasks and more complex processes. This improves efficiency, encourages innovation, and adds flexibility, helping businesses stay competitive in fast-changing markets. For example, companies in fields like manufacturing, healthcare, and retail have seen major improvements by using intelligent automation in their operations, showing how adaptable this technology is. AI also plays a key role in decision-making. By automating the processing and analysis of large datasets, AI provides managers with reliable information to solve problems and find new opportunities. It helps analyze market trends, improve supply chains, and evaluate risks, making sure decisions are fast, data-driven, and match the company’s goals. AI tools also help businesses predict the outcomes of different strategies, reducing risks and improving decision-making. AI-driven data analysis helps companies understand consumer behavior, predict demand, and analyze finances more accurately, leading to better decisions and long-term growth. While AI brings many benefits, the research also looks at challenges companies face. These include concerns about data security, ethical issues, high costs of implementation, and the need for skilled workers to manage and optimize AI systems. Solving these challenges is essential to make sure AI adoption is effective, ethical, and long-lasting. To fully take advantage of AI, businesses should focus on being transparent, invest in training their employees, and encourage teamwork to reduce risks and get the most out of AI