SUN’IY INTELLEKT VA BIG DATA TEXNOLOGIYALARINING KORXONALAR SAMARADORLIGIGA TA’SIRINI MODELLASHTIRISH

Authors

  • Meyliyev Farrux Ikrom o‘g‘li Qarshi davlat texnika universiteti Neft-gaz va geologiya fakulteti oʻquv ishlari boʻyicha dekan oʻrinbosari Author

DOI:

https://doi.org/10.5281/zenodo.20485692

Keywords:

Sun’iy intellekt, Big Data, modellashtirish, korxona samaradorligi, mashinaviy o‘rganish, neyron tarmoqlar, raqamli transformatsiya, biznes-jarayonlar, iqtisodiy samaradorlik, simulyatsion modellashtirish, ekonometrik modellar, raqamli analitika, strategik boshqaruv, innovatsion texnologiyalar, raqobatbardoshlik, resurslarni optimallashtirish, prognozlash.

Abstract

Mazkur tadqiqot sun’iy intellekt va Big Data texnologiyalarining korxonalar samaradorligiga ta’sirini modellashtirishning nazariy-metodologik hamda amaliy jihatlarini kompleks tahlil qilishga bag‘ishlangan. Unda raqamli transformatsiya sharoitida sun’iy intellekt algoritmlari va katta hajmdagi ma’lumotlar tahlili asosida boshqaruv qarorlarini optimallashtirish, biznes-jarayonlarni avtomatlashtirish, resurslardan samarali foydalanish va iqtisodiy samaradorlikni oshirish mexanizmlari ilmiy asosda yoritilgan. Tadqiqot doirasida mashinaviy o‘rganish, neyron tarmoqlar, regressiya va klasterlash modellari, simulyatsion va ekonometrik modellashtirish usullari yordamida sun’iy intellekt hamda Big Data texnologiyalarining mehnat unumdorligi, xarajatlar samaradorligi, rentabellik va innovatsion faollikka ta’siri baholangan.

References

Schwab, K. The Fourth Industrial Revolution. – Geneva: World Economic Forum, 2016.

Brynjolfsson, E., McAfee, A. The Second Machine Age: Work, Progress, and Prosperity in a Time of Brilliant Technologies. – New York: W.W. Norton & Company, 2014.

Davenport, T.H., Harris, J.G. Competing on Analytics: The New Science of Winning. – Boston: Harvard Business School Press, 2007.

Westerman, G., Bonnet, D., McAfee, A. Leading Digital: Turning Technology into Business Transformation. – Boston: Harvard Business Review Press, 2014.

Manyika, J., et al. Artificial Intelligence: The Next Digital Frontier? – McKinsey Global Institute, 2017.

Ng, A. Machine Learning Yearning. – Stanford University, 2018.

Goodfellow, I., Bengio, Y., Courville, A. Deep Learning. – Cambridge: MIT Press, 2016.

Mitchell, T. Machine Learning. – New York: McGraw-Hill, 1997.

Provost, F., Fawcett, T. Data Science for Business. – Sebastopol: O’Reilly Media, 2013.

Waller, M.A., Fawcett, S.E. Data Science, Predictive Analytics, and Big Data: A Revolution That Will Transform Supply Chain Design and Management // Journal of Business Logistics, 2013.

Chen, M., Mao, S., Liu, Y. Big Data: A Survey // Mobile Networks and Applications, 2014.

Forrester, J.W. Industrial Dynamics. – Cambridge: MIT Press, 1961.

Sterman, J.D. Business Dynamics: Systems Thinking and Modeling for a Complex World. – Boston: McGraw-Hill, 2000.

Glazyev, S.Yu. Strategy of Advanced Development in the Conditions of Global Instability. – Moscow: Economics, 2018.

Aganbegyan, A.G. Socio-Economic Development: Problems and Prospects. – Moscow: Delo, 2017.

Downloads

Published

2026-06-01

Issue

Section

Articles

How to Cite

Meyliyev, F. (2026). SUN’IY INTELLEKT VA BIG DATA TEXNOLOGIYALARINING KORXONALAR SAMARADORLIGIGA TA’SIRINI MODELLASHTIRISH. Innovative Research in the Modern World, 5(16), 153-156. https://doi.org/10.5281/zenodo.20485692
Innovative Academy RSC
Article metrics Views and PDF downloads
3 Views
0 Downloads