On June 26–27, Kazan will host the TATAR SAN conference, dedicated to the transition from theoretical discussions of artificial intelligence capabilities to its real-world implementation in business processes and engineering cycles.
What Happened
The event will feature five key tracks: role transformation, design, engineering practices (including Sber's GigaTransformation), hiring, and global trends. Special attention will be given to the "Code Queen" hackathon for Middle+ level developers, where participants will create AI agents for a prize pool of 500,000 rubles.
Context
The AI industry is undergoing a paradigm shift, where the focus is moving from simple chatbot usage to the development of Agentic Workflows and the creation of autonomous systems. This requires the standardization of engineering practices, management of code generation, and ensuring system reliability in production environments.
Why It Matters for the Industry
The conference highlights the market's maturity and the transition to a stage of deep AI integration into the SDLC (Software Development Life Cycle). For companies, this means the necessity of implementing new AI engineering standards, managing vulnerabilities during code generation, and scaling practices through initiatives like GigaTransformation.
Why It Matters for Users
The professional community will have the opportunity to study real-world neural network implementation cases from giants such as Sber, MTS, and Alfa-Investments. For developers, it is a chance to master current skills for building reliable AI agents and exchange experience within a local community of practitioners.
Sources
Author
Look at AI, Editorial Team