AI agents are redefining the future of automation, driving smarter decisions, streamlining operations, and opening new possibilities for businesses. Join us for a 60-minute live session where we’ll explore how AI agents really work, the impact they’re making across industries, and how you can begin applying them to accelerate results in your organization. What you’ll learn: * What AI agents are and how they’re being used today. * Real-world examples of intelligent automation in action. * Best practices for integrating AI agents into existing systems. * Tools and platforms to simplify automation adoption.

AI agents are redefining the future of automation, driving smarter decisions, streamlining operations, and opening new possibilities for businesses. Join us for a 60-minute live session where we’ll explore how AI agents really work, the impact they’re making across industries, and how you can begin applying them to accelerate results in your organization. What you’ll learn: What AI agents are and how they’re being used today; Real-world examples of intelligent automation in action; Best practices for integrating AI agents into existing systems; Tools and platforms to simplify automation adoption.

AI is evolving into autonomous agents that connect with multiple business systems via the Model Context Protocol (MCP). While these agents boost efficiency, they also introduce new security risks. They can access sensitive data and act across systems, sometimes without human oversight. This session covers key risks, real-world examples of failures, and practical ways to keep AI agents secure and trustworthy.

Ever wonder what the heck AI agents are? This short session breaks down how tools (function-calling) and reasoning models combine to form agents, ie, intelligent entities that can complete tasks on their own. We’ll start by clarifying what tools are, then show how agents build on that concept using LangChain4j.

Coder un Game Master intelligent, créer et orchestrer des agents IA spécialisés avec Strands.

AI agents promise to take us beyond simple prompting into a world where machines can reason, plan, and act. In this session, we’ll share our hands-on journey experimenting with AI agents, separating hype from reality. We’ll walk through how we got started, the use cases we explored, the tools and frameworks we tested, what worked (and what didn’t), and the key lessons we’ve learned along the way.

Real-world use cases and scenarios across industries.

What does swarm intelligence look like in the age of AI agents? How can we design incentives that guide agent behavior towards emergent goals?

Join a hands-on session where we’ll demystify how AI agents really work and how you can start using them to drive results in your organization. What you'll learn: What AI agents are and how they’re being used today. Real-world examples of intelligent automation in action. Tips for integrating AI agents into your existing systems. Tools and platforms that make automation easier.

This session introduces Dana, a local-first agent programming language designed for building AI agents. Learn how to build expert AI agents locally with long running, multi-step workflows on a single line, built-in concurrency for parallel LLM calls with zero async keywords, and deterministic execution with learning loops that improve reliability over time.

This project focuses on enhancing cyber defense capabilities through the deployment of intelligent AI agents that augment human expertise within Security Operations Centers (SOCs). Addressing key challenges such as alert fatigue, manual threat correlation, and high-volume event processing, the solution integrates seamlessly with existing infrastructure—including K3s clusters, Loki, Vector, and Security Onion. The core of the solution is a multi-agent architecture that automates tier-1 security analysis while escalating complex threats to human analysts with full contextual insight.

Lightning talk on AI agents and practical tooling.

60-minute panel discussion on the future of open-source AI across all layers of the generative AI stack. The conversation will explore emerging trends, recent innovations in open source, and the evolving ecosystem of AI agents, open-source inference, models, and support tooling.

In this session, we'll discuss the next-generation search infrastructure that gives AI agents seamless access to web information and hard-to-find intelligence. Traditional methods can't handle these new workflows, and legacy search engines - designed for human attention - aren't built for these emerging AI use cases. We will address: a)The power of web search for LLM-based applications; b) the need to avoid scraping of legacy search engines; c) How we're building a new category of "searcher" models; and d) What you can power with a web retrieval engine, including demos.

How AI is streamlining tasks and enhancing decision-making.

Which sectors are adopting AI agents and why.

Session on building AI assistants and agents in the enterprise.

Intel session on building and deploying AI agents.

Session on building and deploying AI agents.