ARTIFICIAL INTELLIGENCE IN ECONOMIC PROCESS MANAGEMENT
ARTIFICIAL INTELLIGENCE IN ECONOMIC PROCESS MANAGEMENT
R. Asmyatullin,S. Khasanova
TLDR
The article raises issues related to the main directions of using AI in the economic sphere, the benefits and potential risks of implementation, as well as assesses future trends in technology development in this area.
Abstract
Artificial intelligence (AI) plays a key role in changing the paradigm of economic management by offering innovative strategies for data analysis, predictive analytics, and deci-sion-making. This area allows you to automate repetitive tasks, increases the accuracy and read-iness of economic development plans, and also brings improvements to business processes. Ma-chine learning algorithms and tools for working with big data provide a breakthrough in identi-fying non-obvious patterns, thereby facilitating risk management and the desire to increase op-erational efficiency. The integration of AI leads to the creation of smart management systems that are ready to adapt to rapidly changing market conditions, which contributes to long-term economic growth.The importance of neural networks, intelligent systems, and analytical tools in simulating complex economic phenomena in real time is particularly emphasized. Despite the massive benefits, the widespread use of AI has puzzled the community with issues related to data security, ethical principles, and oversight of the technology. The article raises issues related to the main directions of using AI in the economic sphere, the benefits and potential risks of implementation, as well as assesses future trends in technology development in this area.
