3 min
Conversations 2026 will bring together over 600 participants from more than 200 companies, including business and technical leadership, product managers, developers, AI/ML specialists, and experts in digital transformation and innovation.
The conference’s core theme is the practical application of GenAI—moving beyond isolated AI experiments toward the development of robust, full-scale business tools. Attendees will explore the economics of AI adoption, workflow automation, the development of intelligent products, and the infrastructure required to deploy and operate AI agents.
The event features two tracks: AI Transformation Management and Technology Development.
The "Business" track focuses on the organizational and economic dimensions of AI implementation, covering topics such as:
- the economics of AI adoption and ownership;
- "vibecoding" for internal process automation;
- voice agents and AI operators;
- employee adaptation to new technologies, including motivation and overcoming resistance;
- scaling from pilot projects to a unified AI platform;
- evaluating the effectiveness of AI tools and defining accountability for their use;
- AI regulation.
The "Products and Technology" track is designed for developers, engineers, and digital product specialists. Key focus areas include AgentOps (the operation of AI agents), Context Engineering, the development of long-running agents, the unit economics of AI products, Agentic UX, the security of agent-based systems, and Voice AI engineering.
Dedicated sessions will also address shifts in Product Discovery methodologies and the collaboration between product and technical teams.
Practical Use Cases for Implementing AI in Business
The program features presentations from representatives of over 35 companies. Speakers include experts from Avito, Magnit OMNI, Kontur, Cloud.ru, Just AI, Wildberries & Russ, Alfa-Bank, Sberbank, Beeline, PravoTech, Navio, and other organizations.
Participants will examine specific examples of artificial intelligence applications in a corporate environment:
- How we at Avito increase incremental revenue for our sales department using GenAI tools — Vitaliy Minaev, Ksenia Shimuk (Avito).
- 500,000 claims and 85% automation: how we built an AI-driven decision-making system — Artem Grippa (Magnit OMNI).
- How "vibe coding" kickstarts AI transformation in non-technical teams — Andrey Tomachinsky (Kontur).
- How to sell AI to people smarter than you? A cloud support case study: from sabotage to a cult of AI evangelists — Maxim Mikhailov (Cloud.ru).
- Not a "black box": how to make an AI-based training tool transparent down to every single call — Oleg Shindelov (Alfa-Bank).
- From LoRA to pre-training: developing the lifecycle of your own LLM — Matvey Saprykin (Wildberries & Russ).
- Tokens as a new labor currency: how AI is reshaping the employee economy — Ashot Oganesyan (Beeline).
- Digital employees without illusions: how to measure impact, drive adoption, and manage the economics of AI — Alexey Pelevin (PravoTech). Turn-taking, fillers, and caching: what’s needed around an LLM to make a bot worth talking to — Vladimir Lavrentiev (Just AI).
Thus, the business program will cover not only the technical capabilities of generative AI but also issues related to its integration into existing workflows, employee adoption of the technology, and the measurement of its economic impact.
Source of information and photo: Conversations
