Deploying Agents in Enterprise – Panel
In this Optimize AI Conference panel, leaders from LinkedIn, Walmart, 66Degrees, and Knative share practical insights…
Self Optimizing Agents for Deep Research – Jakub Zaverl
Jakub Zavrel, founder and CEO of Zetaverse and a long-time pioneer in AI for knowledge-intensive industries,…
A Bold & Responsible Agentic Future – Pilar Manchon
Pilar Manchon explores what it means to build an agentic future that is both ambitious and…
Building Enterprise Multi-agent Communications – Jake Mannix
Jake Mannix outlines what it takes to build reliable, large-scale multi-agent systems inside complex enterprises. Drawing…
AI for Coding – Chip Huyen
Chip Huyen presents a structured framework for understanding how AI is transforming software development. Instead of…
AI Knowledge Layer for Agents – Philip Rathle
Philip Rathle, Chief Technology Officer at Neo4j, explains why modern AI agents require an AI Knowledge…
What’s New and What’s Next for Generative AI – Paige Bailey
Paige Bailey breaks down the latest advancements in Google DeepMind’s generative AI ecosystem and what they…
Trey Grainger – Wormhole Vectors
This lightning session introduces a new idea in vector search – Wormhole vectors! It has deep…
Beyond Hybrid Search with “Wormhole Vectors”
“Wormhole Vectors” are an experimental approach for hybrid search that enables traversal across disparate vector spaces…
Agentic Search: Are LLMs replacing Decades of IR Wisdom?
AI Agents are LLM-backed modules that can use tools (MCP, OpenSearch, etc.) and reason about your…
