Description of the talk: - Background. Why we decided to add an assistant to the standard search. - Market Trends: How Agentic Commerce Is Evolving and Why It Matters Now. - Implementation: How we technically built and integrated the AI agent into Prom’s infrastructure. - MVP and experiment results. What the initial tests revealed and how users interacted with the assistant. - Key insights and conclusions. The main takeaways we identified during development and launch. - What's next. Plans for developing AI tools on the marketplace.

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.

<p>MLOps (Machine Learning Operations) is a recent buzzword, that trends a lot. Let's figure out together how maintaining applications with machine learning components is significantly different from maintaining applications without them.</p> <p>We will look into MLOps best practices and typical problems and their implementations/solutions in real world production.</p>