The traditional approach of “AI is just a tool” limits AI to a supporting role, is outdated, and seems outright amusing in the context of the emerging boom of AI agents. Fully unlocking the potential of modern AI systems requires interactive, two-way collaboration and partnership. Let’s explore various models of human-AI interaction that are transforming work paradigms: the “cyborg” and “centaur” models, the “ensemble,” the “author-driver” and “resonator,” the “cybernetic colleague,” the “thinking partner,” and others. How can we avoid the “falling asleep at the wheel” effect or disengaged AI interaction? Every employee becomes the CEO of a startup composed of a mini-team of AI agents — but what is the optimal number of AI agents per employee?

I’ll talk about how the approach to writing changes when a generative AI becomes your co-author. I’ll share my personal experience of writing a book about generative AI — with its help — including ethical dilemmas, cognitive challenges, and unexpected insights. I’ll explain why the process took ten times longer but brought a hundred times more experience. I’ll also show how I worked with terminology and how, in parallel, I developed practical recommendations for using generative AI in programming, education, and other fields.

Do business approaches work in the defense sector? How can convenience and security be balanced? We’ll share our experience of building, developing, and implementing the DOT-Chain infrastructure from scratch.

I will discuss modern video generation capabilities from text prompts and AI-assisted editing, leveraging my 17 years of video production experience. I will showcase key platforms and tools, share case studies of integrating AI into creators’ and product managers’ workflows, outline product opportunities and workflows for developers and video makers, and highlight priority directions for the development of AI-based video services.

Can you trust the cloud? Confidential Computing enables data protection even in fully controlled environments.

During the discussion, we’ll explore the capabilities of JavaScript, best practices, and current trends together with experienced experts.

I'll tell you about some of the problems faced by modern creative developers

The session covers architectural strategies that keep Elasticsearch stable under heavy load: proper index and shard design, ILM policies, persistent queues in Logstash, metrics downsampling, and self-monitoring of the observability stack. Insights are drawn from operating platforms that handle terabytes of logs and millions of events per day.

Design patterns like Event Sourcing and Event Streaming have long become standards for building real-time analytics systems. However, when the system load becomes nonlinear with fast and often unpredictable spikes, it's crucial to respond quickly in order not to lose real-time operating itself. In this talk, I’ll share my experience implementing and using a tool like Temporal.io. We'll explore the evolution of our system for maintaining real-time report generation and discuss how we use Temporal both for short-lived pipelines and long-running background tasks.