30 minutes to understand MCP (Model Context Protocol)
Talks grouped by Track
Data at Scale, High Load, Data Science, Generative AI, LLM, Analytics, ML, Deep Learning, Neural Networks, Automation
Title
Speakers
Track
Build and Evaluate Trustworthy Data Agents
Concerto for Java and AI - Building Production-Ready LLM Applications
Count-Min Sketch: An efficient probabilistic Data Structure
Create AI-Infused Apps with LangChain4j (and Quarkus)
Exploring large graphs at the heart of the French National Audiovisual Institute
From Data Movement to Data Insights: Evolving Data Mesh at Netflix with Streaming SQL
From Tools to Agents: How Developers Are Automating the Enterprise Workforce
LLMs can't optimize schedules, but AI can!
🎮 Mastering Prompt Engineering for Immersive Text-Based Adventures
Mastering real-time anomaly detection with open source tools
Modern Problems Require Modern Solutions: Finding Your Meme Twin with Embeddings & Vector Databases
Prompt Engineering in Action: Can We Get AI to Code What We Want?
Rediscovering Apollo 11: Using Java + Vector Search to Explore the trip to the moon!
Test or Regret: Surviving the Rise of AI-Written Code
The Rise of Agentic AI: Harnessing Open Source for Dynamic Decision-Making
Understanding Probabilistic Data Structures with 112,092 UFO Sightings
Understanding RAG Techniques and MCP
What is multimodal RAG, and can we build a village with it?
What You Need to Know (And Why You Should Care) About AI Governance