Introduction to Microsoft Agent 365 and the agentic AI ecosystem.

Talk by Onur Eken, Co-founder at Needl; discusses using AI agents and retrieval augmented generation (RAG) to navigate large tech events.

Techniques for deploying, securing, and observing production-grade AI agents.

Panel discussion with four engineering leaders on how AI agents and LLMs are affecting engineering teams in practice. Topics include agent development tools, changes in hiring and team structure, embedding LLMs into products, what's working and what isn't.

Simon Maple demonstrates how to unlock your AI agent’s full potential. Through live demos, see how structured context, clear specs, and guidance turn agents into reliable teammates that understand your stack and coding style.

An expert talk on AI agent design and real-world use cases.

Claudio Giancaterino will discuss the integration of advanced AI agents and conformal prediction techniques to transform financial analysis and forecasting.

AI agents are rapidly evolving, from the early efforts to simulate human cognition and social behavior, to sophisticated multi-agent systems that can act as practical collaborators in everyday work. Building on nearly 75 years of AI and NLP research, today’s AI agents can plan, reason, communicate, and even coordinate. This talk explores the growing capabilities of AI agents as both mirrors and extensions of human cognition and behavior. I will discuss advances in multi-agent frameworks that simulate social reasoning, cooperation, and emergent communication, and explore how these capabilities are being translated into workplace applications supporting brainstorming, narrative development, and research design.

Revolutionizing Platform Engineering with AI Agents and GraphRAG

Overview of how Large Language Models (LLMs) work in medical workflows, the role of AI agents, and real-world applications in medicine such as clinical note summarization, literature review, patient communication, and diagnosis support.

Overview of how LLMs work in medical workflows, how AI agents extend LLMs, and real-world applications in healthcare such as clinical note summarization, literature review, patient communication, and diagnosis support.

A practical tour of Gemini CLI, Google's open-source toolkit for coding agents. Max will unpack its core design principles, from built-in tools and system prompts to memory, context management, and sandboxed environments, and show how developers can tailor and extend it for their own workflows.

Do you often get asked about the newest GenAI use cases? Or maybe you've run into a puzzling Langchain error? If so, this session is for you. You'll see how at Mollie, we tackled these challenges by building our own framework GaaS (GenAI as a Service). We'll show you how developing an in-house GenAI platform speeds up development and streamlines AI adoption across teams. By building together concrete examples, you'll learn how a centralized REST API can make AI tools easy to use for everyone—giving each business unit a secure and efficient way to build their own AI-powered solutions. Whether you're just starting out or looking for real-world inspiration, you'll walk away with practical insights to boost your next AI project.

Lab Day session on designing AI agents with low-code tools.