The influence of artificial intelligence technologies on teaching methods of business analysis

Modern artificial intelligence (AI) technologies have a significant impact on educational processes, including the teaching of the Business Analysis course. The relevance of this study lies in the fact that the development of the digital economy and the increasing volume of data have led to a growing demand for business analysts. However, traditional teaching methods in this discipline do not always meet the modern market requirements. Artificial intelligence offers new opportunities for education, making the learning process more personalized, interactive, and effective. The purpose of the study is to examine the impact of AI technologies on business analysis teaching methods, identifying their advantages and possible limitations. The research objectives include: investigating the key aspects of using AI in business analysis education, including personalized learning, automated knowledge assessment, and the use of intelligent learning systems; аnalyzing the benefits and challenges associated with integrating AI into the educational process; рroviding recommendations for further implementation and application of AI in the Business Analysis course.

1. Tkacheva I.V. (2023) Vlijanie kognitivnyh processov na stanovlenie iskusstvennogo intellekta // Sistemnyj analiz v proektirovanii i upravlenii. No. 1. P. 289–293. (In Russian).

2. Chapkin N.S. (2023) Razum i iskusstvennyj intellekt v aspekte novyh vozmozhnostej // Vlast' istorii – Istorija vlasti. No. 47. P. 151–154. (In Russian).

3. Lektorskij V.A., Vasil'ev S.N., Makarov V.L. (2022) Chelovek i sistemy iskusstvennogo intellekta. SPb.: Juridicheskij centr, 315 p. (In Russian).

4. Chereshnev E. (2022) Kak ostat'sja chelovekom v jepohu rascveta iskusstvennogo intellekta. M.: Al'pina Pablisher, 412 p. (In Russian).

5. Chubarov I.M., Popova T.A. (2023) Cifrovoj Drugoj: problemy identichnosti v paradigme iskusstvennogo intellekta // Voprosy iskusstvennogo intellekta. No. 2. P. 45–53. (In Russian).

6. Solov'jov V.I. (2022) Iskusstvennyj intellekt v biznes-analize i ego cennost' ispol'zovanija v biznese // Kiberleninka. No. 3. P. 79–88. (In Russian).

7. Gordeev A.V., Panfilova E.A. (2020) Vlijanie skvoznyh tehnologij na jelementy kanvy biznes-modeli // Jekonomicheskaja strategija i biznes-analiz. No. 2. P. 119–127. (In Russian).

8. Misirli R., Alieva M. (2024) Rol' iskusstvennogo intellekta v mirovyh biznes-processah // Zhurnal cifrovyh transformacij. No. 1. P. 210–218. (In Russian).

9. Stefanova N.A. (2019) Primenenie iskusstvennogo intellekta dlja reshenija biznes-zadach // Mezhdunarodnyj jekspeditor. No. 2. P. 14–17. (In Russian).

10. Sopina N.V., Makkaeva R.S.-A. (2023) Perspektivy vnedrenija nejrosetej i iskusstvennogo intellekta na promyshlennom proizvodstve // Journal of Monetary Economics and Management. No. 3. P. 222–227. (In Russian).

11. Samarkina A.E., Ivaev M.I. (2023) Specifika primenenija tehnologii iskusstvennogo intellekta v HRMsistemah // Aktual'nye voprosy sovremennoj jekonomiki. No. 3. P. 17–23. (In Russian).

12. Saidov Sh.R. (2023) Vlijanie iskusstvennogo intellekta na jekonomiku // Aktual'nye voprosy sovremennoj jekonomiki. No. 3. P. 636–644. (In Russian).

13. Kashtanov V.V., D'jakov V.F. (2019) Iskusstvennyj intellekt kak kljuchevaja tehnologija cifrovoj transformacii biznesa i jekonomiki // Voenno-jekonomicheskij vestnik. No. 3–4. P. 91–102. (In Russian).

14. Glazunova E.Z., Chernaja A.V. (2022) Tendencii razvitija iskusstvennogo intellekta v biznese // Aktual'nye voprosy sovremennoj jekonomiki. No. 11. P. 260–265. (In Russian).

15. Dement'ev K.I. (2022) Analiz mirovogo opyta primenenija iskusstvennogo intellekta dlja optimizacii biznes-processov predprijatij // Mezhdunarodnyj zhurnal cifrovoj jekonomiki. No. 2. P. 78–88. (In Russian).