New AI frameworks and platform updates land every week. Without a clear understanding of how emerging concepts fit together, it’s difficult to prioritize what trends to adopt. How should your team choose which technologies to learn, and which can help you scale to production?

Join Neo4j for a breakdown of the technical trends from this year’s AI Engineer World’s Fair, spanning agents, memory, MCP, and ontologies. See how they connect in real-world systems, so you can separate short-lived hype from tech that’s here to stay.

You’ll learn:

• How innovations from AI Engineer World’s Fair 2026 are shaping the next six months of AI
• Practical patterns AI teams are using to move from pilot to production
• Clear guidance on what to experiment with and build next