Welcoming remarks were made by the organizers: Vasily Zudin (Center for Global IT Cooperation), Rustam Vakhitov (BEPS Academy) and Holger Zscheige (Infotropic Media).
Andrei Ignatiev, Head of Analytics at the Center for Global IT Cooperation, focused on AI implementation and standardization strategies. The main barriers include mistrust of AI, the technical difficulties of comparing AI with human capabilities, and the difficulties of integration. The expert also spoke about the Intellometrica AI Voluntary Certification System registered by Rosstandart, the first system in Russia to verify that AI technologies comply with established standards.
Andrey Kuleshov, AI ethics officer at the MIPT Research Center for Applied AI Systems and expert analyst at the Center for Global IT Cooperation, presented AI as an intelligent system capable of accumulating and processing knowledge to improve decision-making. He noted that finance requires systematic accounting and management of monetary obligations, which makes AI particularly useful in fintech. In finance, AI can automate routine tasks, quickly analyze large amounts of data (social media, news, reports), and support investment decisions. However, the impact of AI on finance requires a responsible approach, as it directly affects social institutions.
In the block of practical cases of AI application, a modular platform for anthropomorphic logistics systems developed by MIPT was presented, as well as educational initiatives of Rosatom's Corporate Academy and ShareAI's AI Taskbar. Nina Shekhter spoke about projects supporting the implementation of AI in education, including an AI-based application for training welders. Olga Andrianova (ShareAI) presented a platform for distributing AI tasks across GPU resources in enterprises.
The roundtable became an important platform for discussing the implementation of artificial intelligence in business and industry. Experts thoroughly analyzed the existing barriers and identified the opportunities that AI offers to various industries. The presentation of practical cases and initiatives highlighted the importance of integrating AI into educational and logistical processes, demonstrating its potential as a key tool for optimizing and improving efficiency in a wide range of areas.