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News
October 8, 2026
HSE Experts Take Part in 23rd Annual Meeting of Valdai Discussion Club
The 23rd Annual Meeting of the Valdai Discussion Club was held from September 28 to October 1, 2026 under the theme ‘Responsibility for the Future: Limits of the Possible, or Limitless Possibilities?’ The forum brought together 120 experts from 40 countries, including representatives of China, the United States, India, Brazil, the United Kingdom, Germany, Egypt, Iran, and Japan.
October 7, 2026
‘Our Team Consists of True Leaders in Their Respective Academic Disciplines
The HSE International Centre of Decision Choice and Analysis studies a wide range of methods for analysing decision-making and possible scenarios for the development of natural, socio-economic, and political phenomena using various mathematical models. The application of advanced mathematical methods to forecasting helps to prevent negative outcomes and avoid erroneous decisions. The HSE News Service spoke to the centre’s director, Prof. Fuad Aleskerov, about its work.
October 6, 2026
International N5 Symposium ‘Neural Networks and Nonlinearity in Nizhny Novgorod Brings Together Scientists from Russia and Serbia
The International N5 Symposium ‘Neural Networks and Nonlinearity in Nizhny Novgorod’ was held at the Nizhny Novgorod House of Scientists from September 23 to 26. The event was organised by HSE University–Nizhny Novgorod and the Nizhny Novgorod House of Scientists, with the participation of Sberbank and the Institute of Physics Belgrade. The symposium was held for the second time: the first conference took place in 2025 and attracted considerable interest from the academic community.

 

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AI Applications in B2B Marketing: the Example of IT Companies Operating in the Banking Sector

P. 1–14.
Serova E., Glukhova P.

The issues of AI applications are widely debated in scientific and business communities. Many businesses are investing in AI, but are disappointed by the insufficient results. Unfortunately, not many companies are yet reaping significant benefits from AI. This research is aimed to extend prior data on the effects of AI tools in the marketing practices of B2B companies operating within the banking sector. It is theoretical and empirical research in equal measure. The study methodology uses mixed model research, including thematic analysis of interviews, allowed for structuring the empirical material into five key themes; and the quantitative analysis, performed using the summated rating method, confirmed the main findings of the qualitative stage and allowed for the generalization of expert judgments across a range of parameters. The research is based on the analysis of large volumes of information, the author’s own experience, and literature review that includes the latest findings in this field.

Language: English
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Keywords: искусственный интеллектбанковский секторbanking sectorB2B маркетингэффективность банковской деятельностиB2B marketingIT companiesartificial intelligence (AI)mixed method research designbanking efficiencymix-метод дизайна исследованияИТ компании

In book

Proceedings of the British Academy of Management Conference BAM 2026
L.: British Academy of Management, 2026.
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