Digital Transformation of Inspection Activities in the Context of the Digital Economy

Аннотация

The digital revolution, encompassing the global economy, astonishes with its scale, pace, and geography. Each year, the intensity of introducing new technologies into production and services designed to meet human needs increases. The digital wave is affecting new sectors and is having an increasingly significant impact on the economy. The article discusses the key features of digital transformation using inspections as an example. Additionally, it highlights the primary factors accelerating the digitization processes in our republic. Keywords: digital economy, digital technologies, Big Data, information systems, digitization. Over the past five years, the level of digitization globally has significantly increased, demonstrated by the growth in the number of internet users, cloud computing, artificial intelligence, blockchain, cybersecurity technologies, and digital services. The COVID-19 pandemic accelerated these processes, especially in remote work, online education, and healthcare. According to the Global Innovation Index 2024, the most innovative economies include Switzerland, Sweden, the United States, Singapore, and the United Kingdom. Over the last decade, China, Turkey, India, Vietnam, and the Philippines have been among the fastest-growing countries. Additionally, the United Nations E-Government Development Index shows that global digitization levels continue to rise, reaching 0.638 in 2024 (compared to 0.55 in 2018). In the digital governance ranking, Denmark, Estonia, Singapore, South Korea, Iceland, Saudi Arabia, the United Kingdom, Finland, and the Netherlands are leading. In Uzbekistan, the transition to a new development stage-digital government and society-is creating unparalleled opportunities. Digitization plays a crucial role in ensuring sustainable socio-economic, political, and cultural progress, improving citizens' living standards, and fulfilling the needs of individuals while enabling their free development. 615 “JOURNAL OF SCIENCE-INNOVATIVE RESEARCH IN UZBEKISTAN” JURNALI VOLUME 2, ISSUE 12, 2024. DECEMBER ResearchBib Impact Factor: 9.654/2024 ISSN 2992-8869 Comprehensive reforms in Uzbekistan have yielded significant results. For instance, according to the United Nations' 2022 report, Uzbekistan ranked 69th in the E-Government Development Index with a score of 0.7265. By 2024, the country moved up six positions to 63rd, achieving a score of 0.7999. The New Uzbekistan Development Strategy for 2022–2026 prioritizes active digitization efforts, including developing the “e-government” system, expanding public-private partnerships, and introducing digital technologies. Additionally, modernizing civil service systems, improving regulatory functions in the real economy sector and inspections, and digitizing operational processes are key objectives. Big Data also plays a pivotal role in improving inspection activities alongside digital technologies. The scope of projects utilizing Big Data is expanding in various sectors, including inspections. Current initiatives focus on digitization, the use of internet resources, developing information systems, data from mobile operators, and electronic government services. In discussions on Big Data, the emphasis is on effectively utilizing data volume, speed, and diversity, supported by computational infrastructures and methods. Officially, this involves enhancing the technological capacity of organizations overseeing information systems to collect, store, process, and analyze large datasets. Big Data analysis is crucial for identifying trends, customer behaviors, and market preferences to aid business decision-making. The complexity of Big Data analysis requires advanced tools such as predictive analytics, machine learning, stream analytics, and clustering methods. The process includes: Collecting data. Analyzing the data. Drawing conclusions. Various techniques from statistics and informatics are used for data analysis. However, no universal system for handling Big Data exists, and solutions depend on user needs. Software and systems offer unique advantages, though challenges persist, such as data source diversity, data quality, and visualization. Researchers are continually developing and refining techniques to improve Big Data processing, including methods applicable to smaller datasets. 616 “JOURNAL OF SCIENCE-INNOVATIVE RESEARCH IN UZBEKISTAN” JURNALI VOLUME 2, ISSUE 12, 2024. DECEMBER ResearchBib Impact Factor: 9.654/2024 ISSN 2992-8869 Comprehensive analytical methods and algorithms for processing Big Data include Data Mining (e.g., association rules, classification, clustering), Machine Learning, Artificial Neural Networks, simulation, and statistical analysis. Today, the documents adopted by our government in the ICT field, as well as the programs, roadmaps, projects, and targeted indicators outlined in the “E- Government” and “Digital Uzbekistan – 2030” strategies, play a critical role. These initiatives emphasize the registration, colle