Agentic AI | Et si c’était l’IA qui faisait ta code review ?
Talks grouped by Track
Putting data to work. This track is about building intelligent systems. We invite talks on Big Data, NoSQL, Machine/Deep Learning, and frameworks like TensorFlow/PyTorch that solve real-world problems.
Title
Speakers
Track
Breaking Down AI Silos: Building Interoperable Multi-Agent Systems with Google's A2A Protocol and Java SDK
Building a Handwriting Recognition System for the New York Times Crossword
Building Production-Grade LLM Applications: From RAG to Observability
Build Your Own MCP Server in Under 15 Minutes with Spring AI
Demystifying fraud detection with Neo4j
Detecting Video Tampering with Python: A Live Forensics Dive into a Train Crash Case
Fine-Tuning vs. RAG: Two Paths to Smarter Language Models
Frozen Intelligence : Why AI Systems Break When the World Changes?
How I Built a Game-Winning Analytics Platform in One Night For Handball
MCP et A2A : Révolutionner l'Interconnexion et la Collaboration des Agents IA
MCP in Action: Connecting AI to Enterprise Systems
Rethinking RAG: How MCP and Multi-Agents Will Transform the Future of Intelligent Search