Ta'lim fidoyilariAkramova Zebiniso Shorajab qizi
10.5281/zenodo.20303990
Annotatsiya
Ushbu maqolada raqamli transformatsiya sharoitida sun’iy intellekt texnologiyalaridan foydalanish orqali boshqaruv qarorlarini optimallashtirish mexanizmlari tadqiq etilgan. Tadqiqot davomida zamonaviy menejment tizimida ma’lumotlarga asoslangan qaror qabul qilish, prognozlash, risklarni baholash va biznes jarayonlarni avtomatlashtirishning ahamiyati yoritilgan. Shuningdek, sun’iy intellektni korxonalarda qo‘llashning amaliy jihatlari tahlil qilinib, uning samaradorlikni oshirishdagi roli asoslab berilgan. Tadqiqot natijasida boshqaruv jarayonlarini takomillashtirish bo‘yicha ilmiy amaliy tavsiyalar ishlab chiqilgan.
Kalit so'zlar:
Raqamli transformatsiya, sun’iy intellekt, boshqaruv qarorlari, menejment, optimallashtirish, ma’lumotlarga asoslangan boshqaruv, biznes jarayonlar, innovatsion rivojlanish, katta ma’lumotlar (Big Data), avtomatlashtirish.
Foydalanilgan adabiyotlar
1) Brynjolfsson, E., & McAfee, A. (2014). The second machine age: Work, progress, and prosperity in a time of brilliant technologies. Journal of Economic Perspectives, 28(1), 3 30. https://doi.org/10.1257/jep.28.1.3. 2) Davenport, T. H., & Ronanki, R. (2018). Artificial intelligence for the real world. Harvard Business Review, 96(1), 108–116. https://hbr.org/2018/01/artificial-intelligence for-the-real-world. 3) Davenport, T. H. (2010). Analytics at work: Smarter decisions, better results. Harvard Business Press. 4) Schwab K. The Fourth Industrial Revolution. – Geneva: World Economic Forum, 2016. 5) Gomez-Uribe, C. A., & Hunt, N. (2016). The Netflix recommender system: Algorithms, business value, and innovation. ACM Transactions on Management Information Systems, 6(4), 1–19. https://doi.org/10.1145/2843948. 6) Bughin, J. (2018). Notes from the AI frontier: Modeling the impact of AI on the world economy (Doctoral dissertation). McKinsey Global Institute. https://www.mckinsey.com. 7) Marr, B. (2020). Artificial intelligence in practice: How 50 successful companies used AI and machine learning to solve problems. Wiley. https://doi.org/10.1002/9781119651738. 8) Manyika, J., Chui, M., Miremadi, M., Bughin, J., George, K., Willmott, P., & Dewhurst, M. (2017). A future that works: AI, automation, and the economy. McKinsey Global Institute Report, 1–135. https://www.mckinsey.com
