21:18
Why Agentic Systems Need Ontologies — Frank Coyle, UC Berkeley
Frank Coyle, a computer science educator at UC Berkeley with over 35 years of experience and a background in neuroscience, delivered...
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20:54
Citation Needed: Provenance for LLM-Built Knowledge Graphs — Daniel Chalef, Zep AI
Daniel Chalef, co-founder of Zep AI, presents at AI Engineer World's Fair on engineering provenance and lineage into LLM-built knowle...
18:04
Local Agentic Theory For Mobile Games — Shafik Quoraishee & Joanne Song, The New York Times
Shafik Quoraishee and Joanne Song from The New York Times present experimental research on running local AI agents for accessible mob...
20:27
Video Has No Memory. Here’s How We Built One. — James Le, TwelveLabs
James Le, Head of Developer Relations at TwelveLabs, presents at AI Engineer World's Fair on building a memory layer for video intell...
15:58
From Systems of Record to Systems of Context — Omri Bruchim, monday.com
Engineering managers Omri Bruchim and Tor from monday.com presented at AI Engineer on how the company is transforming its work manage...
20:42
CrabRAG: Why Automated Assistants Need Graph Memory, Not More Tokens — Stephen Chin, Neo4j
Stephen Chin, head of developer relations at Neo4j, delivered a conference talk at AI Engineer presenting CrabRAG — a graph-based mem...
19:20
Your agent architecture has a half-life of 6 months — Dan Farrelly, CTO, Inngest
Dan Farrelly, CTO and co-founder of Inngest, takes the AI Engineer conference stage to argue that every agent system has a measurable...
18:02
The Desktop Frontier — Ahmad Osman, Osmantic
Ahmad Osman of Osmantic delivers a data-heavy conference presentation tracking the rapid compression of AI capability into consumer a...
25:38
Why Your Agent Disagrees With Itself (And What To Do About It) – Diane Lin, Datadog
Datadog AI lead Diane Huang Lin — formerly of Alexa, Vicarious (now Google DeepMind), and Zscaler — presents a systematic treatment o...
12:08
Enterprise Agents Have a Structure Problem – Ishita Daga, Tesla
Ishita Daga, a machine learning engineer at Tesla building enterprise agents, argues that when a data agent gives a wrong answer, the...
26:40
Skills are the New SDKs – Elvin Aghammadzada, DataRobot
Elvin Aghammadzada from DataRobot challenges a common assumption in agentic AI development: that larger context windows solve the too...
14:13
Agent Output Is Not UX: Rendering Layer Your LLM Pipeline Is Missing – Bala Ramdoss, Amazon Lens
Bala Ramdoss, a decade-long builder of customer-facing apps at Amazon Lens, argues that most agentic AI products fail not because of...
27:33
Agentic Development Security — Ezra Tanzer, Snyk
Ezra Tanzer, Product Director at Snyk, argues at AI Engineer that the industry's initial frame for agentic security — securing the co...
23:29
Through the AI Fog: The Architectural Decision Agentic Security Depends On — Manoj Nair, Snyk
Manoj Nair, Chief Innovation Officer and CTO of Snyk, delivers one of the most data-grounded talks at the AI Engineer World's Fair se...
21:42
AI’s Jurassic Park Period — Aaron Stanley, dbt Labs
Aaron Stanley, CISO at dbt Labs and a member of the California Bar, uses Jurassic Park as a sustained metaphor to argue that AI agent...
23:02
It’s 10pm. Do You Know Where Your Agents Are? — Kim Maida, Keycard
Kim Maida from Keycard opens her AI Engineer talk with a live demo showing how a single overprivileged API key enables an incident ma...