The role of innovative transformation in increasing the efficiency of agricultural production

Modern scientific and technical transformations of regional systems bring the functioning of economic entities to a new level. However, under the current conditions, it becomes a very difficult process for most companies to adapt to new transformations. It is necessary to expand the flow of knowledge to all levels of the business sector and allow the application of new knowledge of artificial intelligence in the daily life of the business sector. This article examines the impact of innovative transformation on the development of agricultural production. An overview of the stages of the development of artificial intelligence and its tool - machine learning (MO), as a promising direction in improving production efficiency and increasing productivity. Examples of tasks related to the analysis of economic processes are highlighted and the comparative characteristics of machine learning and deep learning (areas of artificial intelligence) are analyzed. The positive and negative consequences of innovative transformation for agriculture are clarified. It also provides measures to neutralize some of the main limitations and problems in the implementation and implementation of artificial intelligence (AI) tools in the practice of business entities, for example: regular updating of digital storages and the application of a strategy of relative trust in officials and specialists working to improve cyber security.