Jonathan Larson is a Senior Principal Data Architect at Microsoft Research working in Special Projects(opens in new tab). He currently leads a research team focused on the intersection of graph machine learning, LLM memory representations, and LLM orchestration.…

Advanced GraphRAG techniques apply graph ML and algorithms, wrapped into tidy notebooks.

About Alison Cossette
Alison Cossette is a dynamic Data Science Strategist, Educator, and Podcast Host. As a Developer Advocate at Neo4j specializing in Graph Data…

Are you ready to give your AI agents a memory upgrade?
Join us for a fast-paced workshop exploring how memory can transform your agents.

What You'll Do:
Learn Leading Memory Solutions: Gain practical experience with open-source tools like Neo4j, Cognee,…

You're trying to guide how your agents think and act. Code-orchestrated workflows are too rigid, but LLMs charting their own course feel too chaotic. When you need a middle ground, it’s time to reach for the secret weapon: ontologies. These graph-shaped fragments…

In this hands-on workshop, you will build a multimodal AI agent capable of processing mixed-media content—from analyzing charts and diagrams to extracting insights from documents with embedded visuals. Using MongoDB as a vector database and memory store,…

The H1 2025 issue of the ESET Threat Report reviews the key trends and developments that shaped the threat landscape from November 2024 to May 2025

*Thank You for Watching!*Support my work and help spread Bitcoin education:⚡ Send Bitcoin over Lightning: https://pay.blink.sv/joen⛏️ On-chain Bitcoin: bc1qu...

In the rapidly evolving landscape of agentic systems, memory management has emerged as a key pillar for building intelligent, context-aware AI Agents. Inspired by the complexity of human memory systems—such as episodic, working, semantic, and procedural memory—this…

In this talk, we examine the state-of-the-art in AI-powered search and retrieval. We detail techniques for enhancing performance beyond base embedding models, including hybrid search, reranking strategies, query decomposition and document enrichment, the…

The talk will have three parts
1.Roadmap debate: RAG vs. finetuning vs. long-context
2.RAG today: benefits, challenges, and current solutions
3.RAG tomorrow: AI models do more work

About Tengyu Ma
Tengyu Ma is the Chief AI Scientist @ MongoDB and an Assistant…

Open weights models and open source inference servers have made massive strides in the year since we last got together at AIE World's Fair.

Where once we had only pirated LLaMA 2 weights and Transformers, we now have an embarrassment of riches. In fact,…

This workshop offers a hands-on introduction to developing Large Language Model (LLM)-powered AI agents using Microsoft’s Azure AI Agent Service. Participants will build a conversational agent capable of analyzing sales data, generating visualizations, and…

As AI agents transition from experimental assistants to critical components of enterprise workflows, reliably evaluating their performance becomes essential. But how do you systematically measure an AI agent’s capabilities, contextual understanding, and accuracy…

GitHub Copilot's agentic capabilities enhance its ability to act as a peer programmer. From the IDE to the repository, Copilot can generate code, run tests, and perform tasks like creating pull requests using Model Context Protocol (MCP). This instructor…

In the age of autonomous AI agents, ensuring their safety and reliability is paramount. But how can we proactively uncover vulnerabilities before they impact real-world scenarios? Enter Azure AI Evaluation SDK’s Red Teaming Agent—a cutting-edge tool designed…

About Christopher Harrison
Christopher is a long-time geek who's spent the bulk of his career training, supporting and upskilling developers. He's a web developer at heart with passions which span from Python to DevOps to TypeScript to AI. In his current…

"Vibe coding" often falters in complex enterprise environments. Drawing from real implementations, this talk demonstrates systematic approaches to customizing AI assistants for challenging codebases. We'll explore specialized techniques for navigating complex…

Software development is a team sport, with many different roles, where eveyone can win. But success isn't guaranteed; it depends on specific practices, policies, and tools which enable minimally-siloed, AI-accelerated collaboration across all parts of the…