Abstract

Digital transformation, based on the latest technologies, is a strategic course for enterprises aimed at optimizing, expanding their customer base, and opening new sources of profit. The article examines cloud computing, artificial intelligence, the Internet of Things, blockchain, and data analytics as critical aspects of digital transformation, focusing on their impact on business. A study of the existing opportunities for attracting digital technologies to the agribusiness sector was carried out, with an understanding of the need to use the latter not only in the management sphere but also in the production sphere, based on the specifics of the industry. The article presents the results of the digital activity of individual companies that use digital technologies to increase efficiency and productivity. It is determined that examples of task automation, the use of GPS navigation systems for tractors, and field monitoring via unmanned aerial vehicles are just a few illustrative examples of digital transformation. Artificial intelligence is being used to analyze crop data, improve understanding of operations, and identify opportunities for improvement. Practical examples include introducing precision farming systems, which help increase productivity and resource efficiency. Logistics and warehouse management systems help optimize machinery use and inventory management. Digital transformation in agribusiness not only increases the competitiveness of enterprises but also provides new opportunities for operating on digital platforms. The article explores the importance of researching digital opportunities in the manufacturing sector to support the digitalization of agribusiness and increase its competitiveness. The article emphasizes the importance of digital transformation in the manufacturing sector, which can determine the success of the Ukrainian business industry in the context of rapid digital development. Keywords: digital transformation, digital adaptation, digital technologies, strategic management, data analytics, innovation, competitive development.

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