Session Abstract

In the world of AI, a single agent can accomplish a lot—but what happens when multiple agents enter the scene? This session is your ultimate guide to understanding multi-agent systems (MAS), the key to building scalable, intelligent, and collaborative AI solutions. We'll break down the core distinctions between single-agent and multi-agent architectures, explore real-world applications, and dive into the complexities of agent interaction, coordination, and fault tolerance. Whether you're designing autonomous trading bots, smart logistics networks, or AI-driven simulations, this talk will give you a solid foundation in MAS and its transformative potential. Get ready for a deep dive into the tech that’s reshaping AI collaboration!

Maxim Salnikov

Maxim Salnikov is a tech and cloud community enthusiast based in Oslo. With over two decades of experience as a web developer, he shares his extensive knowledge of the web platform, cloud computing, and AI by speaking at and providing training for developer events worldwide. By day, Maxim plays a crucial role in supporting the development of cloud and AI solutions within European companies, serving as the leader of developer productivity business at Microsoft. During evenings, he can be found running events for Norway's largest web and cloud development communities. Maxim is passionate about exploring and experimenting with Generative AI possibilities, including AI-assisted development. To share his insights and connect with like-minded professionals globally, he founded and organized the inaugural Prompt Engineering Conference, the first of its kind on a global scale.