Artificial intelligence as a focus of digital economy development: Theoretical and practical aspects
The article is devoted to the study of the development of artificial intelligence (AI) technologies and its presentation as the fundamental basis of the digital economy concept, which is implemented within the framework of the Industry 4.0. The purpose of the research carried out in the article is to analyze the areas of effective application of AI methods and tools, as well as to assess the potential for introducing AI into the business sphere. The theoretical and practical aspects of the application of AI technologies in various sectors of the economy are considered. It has been determined that the high cost of introducing technologies and establishing the stages of its functioning is a significant barrier to the use of AI. The data obtained during the course showed that organizations that have invested in identifying, aggregating, standardizing and labeling data will be well placed to combine AI with analytics, IoT and other technologies. It has been found that DevOps techniques can be used to successfully integrate and organize teams, placing development teams and operations teams in a feedback loop for ongoing collaboration and interactive changes to new products. Criteria for assessing the level of maturity of the branches of AI have been determined.
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