The rapid development of artificial intelligence (AI) technologies has created new opportunities for improving efficiency in the construction industry. Construction projects often face challenges related to inaccurate cost estimation, inefficient resource allocation, delays, and quality control. Intelligent algorithms, including machine learning, deep learning, optimization algorithms, and predictive analytics, provide innovative mechanisms for optimizing construction costs while enhancing the quality and speed of service delivery. This study examines the role of AI-based intelligent algorithms in construction cost optimization, project planning, risk assessment, procurement management, and digital decision-making. The research also explores the integration of Building Information Modeling (BIM), Internet of Things (IoT), and AI technologies to improve operational efficiency throughout the construction lifecycle. The findings indicate that intelligent algorithms significantly reduce project costs, minimize financial risks, improve resource utilization, and support sustainable development in the construction sector. Furthermore, the study proposes practical recommendations for implementing AI-driven service models that increase transparency, productivity, and competitiveness in the construction industry.
| Mualliflar | Qidirniyazov Ajiniyaz Sherniyazovich |
|---|---|
| Jurnal | Ўзбекистон суғурта бозори |
| Nashriyot | ТДИУ |
| Nashr sanasi | 2026-05-31 |
| Betlar | 205-208 |
| Til | Ingliz |
| Ilmiy soha | Iqtisodiyot |
| Indeksga qo‘shilgan | 2026-08-27 |
Artificial Intelligence, Intelligent Algorithms, Construction Cost Optimization, Machine Learning, Building Information Modeling (BIM), Digital Construction, Predictive Analytics, Construction Services.
| APA | Qidirniyazov Ajiniyaz Sherniyazovich (2026). MECHANISMS FOR THE USE OF INTELLECTUAL ALGORITHMS IN OPTIMIZING CONSTRUCTION COSTS AND DEVELOPING SERVICE PROVISION BASED ON ARTIFICIAL INTELLIGENCE. Ўзбекистон суғурта бозори, 205-208. https://insurance.tsue.uz/index.php/journal/article/view/480 |
|---|---|
| GOST (OAK) | Qidirniyazov Ajiniyaz Sherniyazovich MECHANISMS FOR THE USE OF INTELLECTUAL ALGORITHMS IN OPTIMIZING CONSTRUCTION COSTS AND DEVELOPING SERVICE PROVISION BASED ON ARTIFICIAL INTELLIGENCE // Ўзбекистон суғурта бозори. – 2026. – P. 205-208. |
| MLA | Qidirniyazov Ajiniyaz Sherniyazovich. “MECHANISMS FOR THE USE OF INTELLECTUAL ALGORITHMS IN OPTIMIZING CONSTRUCTION COSTS AND DEVELOPING SERVICE PROVISION BASED ON ARTIFICIAL INTELLIGENCE.” Ўзбекистон суғурта бозори, 205-208, 2026. https://insurance.tsue.uz/index.php/journal/article/view/480 |
| Chicago | Qidirniyazov Ajiniyaz Sherniyazovich. “MECHANISMS FOR THE USE OF INTELLECTUAL ALGORITHMS IN OPTIMIZING CONSTRUCTION COSTS AND DEVELOPING SERVICE PROVISION BASED ON ARTIFICIAL INTELLIGENCE.” Ўзбекистон суғурта бозори, 205-208 (2026). https://insurance.tsue.uz/index.php/journal/article/view/480 |
| Harvard | Qidirniyazov Ajiniyaz Sherniyazovich (2026) ‘MECHANISMS FOR THE USE OF INTELLECTUAL ALGORITHMS IN OPTIMIZING CONSTRUCTION COSTS AND DEVELOPING SERVICE PROVISION BASED ON ARTIFICIAL INTELLIGENCE’, Ўзбекистон суғурта бозори, 205-208. https://insurance.tsue.uz/index.php/journal/article/view/480 |
| BibTeX | @article{qidirniyazovajiniyazsherniyazovich2026,
title = {MECHANISMS FOR THE USE OF INTELLECTUAL ALGORITHMS IN OPTIMIZING CONSTRUCTION COSTS AND DEVELOPING SERVICE PROVISION BASED ON ARTIFICIAL INTELLIGENCE},
author = {Qidirniyazov Ajiniyaz Sherniyazovich},
journal = {Ўзбекистон суғурта бозори},
year = {2026},
pages = {205-208},
url = {https://insurance.tsue.uz/index.php/journal/article/view/480}
} |
Boshqa maqola uchun iqtibos tayyorlash
Ushbu maqolada Toshkent shahar mahallalarining ijtimoiy-iqtisodiy, etnodemografik va hududiy tuzilishi tahlil qilingan. Mahallalarning an’anaviy va yangi kvartal turlarga bo‘linishi, ularning aholi soni, bandlik…
Under the strategic framework of the "Concept for the Development of the Higher Education System 2030," Uzbekistan's higher education system has undergone rapid expansion over the past decade, with a significant…
So‘nggi yillarda xalqaro turizmning jadal rivojlanishi, iqlim o‘zgarishi, pandemiyalar, transport tizimidagi uzilishlar, kiberxavfsizlik tahdidlari hamda geosiyosiy beqarorlik turizm sohasidagi risklarning…
Ushbu maqolada agrosanoat majmuini raqamli boshqarishning mazmuni, dolzarb muammolari, uning tarkibidagi sohalar faoliyatini takomillashtirish hamda uni samaradorligini oshirish imkoniyatlari kabi masalalar ilmiy…
Mazkur maqolada hududlar iqtisodiyoti raqobatbardoshligini oshirishda innovatsion ekotizimlarni rivojlantirishning nazariy-metodologik asoslari hamda amaliy mexanizmlari tadqiq etilgan. Shuningdek, davlat…
Maqolada davlat-xususiy sheriklik loyihalarini moliyalashtirishda konsessiya shartnomalari va maxsus loyiha kompaniyalari (SPV) mexanizmining nazariy hamda amaliy asoslari tadqiq etilgan. Xalqaro tajriba va O‘zbekiston…
Mazkur maqolada xoʻjalik yurituvchi subyektlarda moliyaviy hisobot shakllarini tayyorlashning ilmiy-nazariy masalalarini tadqiq etgan olimlarning ilmiy qarashlari, shuningdek farmatsevtika mahsulotlari, jumladan dori…
Maqolada sanoat korxonalarida mahsulot sifatini boshqarish samaradorligini baholashning uslubiy yondashuvlari tahlil qilingan. O‘tkazilgan tahlillar natijasida Jizzax viloyati yetakchi sanoat korxonalari kesimida…
Huqumatlar yildan-yilga elektronlashib bormoqda. Deyarli, barcha davlat idoralari jumladan soliq tizimi oʻzlarining rasmiy veb-sayt va avtomatlashtirilgan tizimlariga ega. Raqamlashtirish soliq organlariga elektron…
Mazkur maqolada O‘zbekiston agrar soha samaradorligini statistic baholashda parametrik Stoxastik chegaraviy tahlil (SFA) usuli qo‘llanilgan. Tadqiqot ishi 2010–2025-yillardagi panel ma’lumotlariga asoslangan bo‘lib…
Ўзбекистон суғурта бозори — barcha maqolalar · 2026-yil arxivi
This study analyzes labor productivity improvement and efficient housing construction organization using economic-mathematical and econometric modeling. Key factors affecting labor productivity are identified, and their…
This study examines the integration of digital technologies and artificial intelligence (AI) in the development of service systems within construction logistics. The research highlights the role of advanced digital…
This study provides an econometric assessment of the impact of population income on housing demand in the Republic of Karakalpakstan using OLS and ARMAX models. Results show that income growth increases housing demand…
This study examines the association between Internet use and self-rated health and investigates the role of online health information behaviors in this relationship. Using data from the 2021 Chinese General Social…
На материалах, опубликованных по август 2024 года, исследуется достаточность бюджетного покрытия обязательств государственно-частного партнёрства. Предложена совместная проверка объёма, сроков и допустимых источников…
Maqolada O‘zbekiston sport tashkilotlarida sun’iy intellekt (SI) va ma’lumotlarga asoslangan boshqaruvning iqtisodiy samaradorlik bilan bog‘liqligini o‘rganish uchun rasmiy statistik ma’lumotlar tahlil qilinadi…
The article analyzes the institutional formation and everyday educational practice of girls’ education in Turkestan in the late nineteenth and early twentieth centuries. It examines traditional schools led by otinoyi…
This study presents a comprehensive analysis of the geostrategic role of Khwarezm in the transregional trade system of Eurasia during the 9th–12th centuries, based on written sources, historiography, and archaeological…
В статье исследуется, почему налоговые и тарифные льготы могут не приводить к привлечению инвестиций в дата-центры для искусственного интеллекта (ИИ). На основе теории комплементарности М. Кремера построена…