Moscow Exchange Launches AI Strategy to Transform Financial Services and Internal Operations

Moscow Exchange Launches AI Development Strategy Through 2028

The Moscow Exchange has announced a new artificial intelligence (AI) development strategy that will guide its efforts until 2028. This plan focuses on building an AI ecosystem leveraging both in-house innovations and existing technologies.

Central to the strategy is the development of AI agents that range from product-specific tools to universal systems capable of handling complex financial tasks. These agents will be integrated into the Finuslugi marketplace to improve current offerings and introduce new services.

AI Integration Across Products and Operations

The exchange intends to embed AI not only in customer-facing products but also within its corporate environment. Employees will gain access to AI tools designed to assist with coding, meeting facilitation, and other workplace functions. Multiple language models will be used to optimize performance across different applications.

Viktor Zhidkov, Chairman of the Moscow Exchange, emphasized that the strategy provides a clear path for AI adoption. He highlighted that AI will enhance the client experience for market participants and Finuslugi users, while also transforming internal processes.

Long-Term Investment in Financial Market Development

Zhidkov also described AI as a long-term investment critical to the financial market’s growth. The move aligns with broader trends of adopting AI technologies to improve efficiency and service quality in finance.

Notably, a report from American intelligence in September 2024 mentioned that Russia had produced more AI-generated content aimed at influencing the U.S. presidential elections than any other foreign state, underscoring the country's active AI engagement.

• AI agents for specialized and universal financial tasks
• Integration with Finuslugi marketplace for enhanced and new services
• Corporate AI tools to support coding and meetings
• Use of diverse language models tailored to specific functions

For IT professionals interested in exploring AI development and implementation in finance, expanding skills in AI tools and language models is essential. Training resources are available through platforms like Complete AI Training, which offers courses on AI applications relevant to financial services and software development.