6:28
What Technical Due Diligence Finds When the Deck Says “70% Automated” — Soukaïna Abelhad
Soukaïna Abelhad
Technical due diligence · AI adoption metrics · Developer productivity measurement
← Featured AI Engineer talks
The talk archive.
1,308 published talks.
20:49
Every step you take, every call you make: the reliable agent stack — Giselle van Dongen, Restate
Giselle van Dongen
AI Engineer World's Fair 202620:37
The Agentic Commerce Stack — Ahnaf Prio, Best Buy
Ahnaf Prio
18:21
Your Agreements Are a Database You Can't Query — Hiral Shah, Docusign & Sean Sodha, NVIDIA
Hiral Shah · Sean Sodha
Enterprise agreement data · Nemotron Parse · Contract table extraction
18:51
The Spatial Harness: Bringing Agents to the Canvas — Max Drake, tldraw
Max Drake
10:28
Every Building Is a Balance Sheet: Spatial Memory for Real-World Assets — Jordi Spranger, Spranic
Jordi Spranger
Spatial memory · Knowledge freshness · Graph databases
13:21
Tokens Should Have Jobs — Katelyn Lesse & Angela Jiang, Anthropic
Katelyn Lesse · Angela Jiang
AI Engineer World's Fair 202618:44
Which AI startups actually land enterprise contracts? — Brian Lewis, Millennium
Brian Lewis
AI Engineer World's Fair 202617:12
Why Your AI Agents Can't Talk to Each Other (Yet) — Vlad Luzin, BAND
Vlad Luzin
Agent orchestration · APIs, MCP, and protocols · Observability and reliability
25:06
Large clusters for small models — Daniel Svonava, Superlinked
Daniel Svonava
23:21
Grep or Embeddings? Agentic Search Over Company Documents — George He, LlamaIndex
George He
Agentic search · Enterprise knowledge retrieval · Hybrid search
21:37
No Memory, No Harness: Why the Database Is the Last Line of Defense — Kay Malcolm, Oracle
Kay Malcolm
20:52
Why Your AI Agent Needs a Wallet: USDC and Nanopayments — Harshal Bhangale, Circle
Harshal Bhangale
AI Engineer Code 202515:17
Stop Renting Your AI's Memory — Dylan Couzon, Qdrant
Dylan Couzon
Open weights · Personal AI memory · RAG, context, and search
AI Engineer World's Fair 202622:10
Distill the LLM, Don't Serve It: Search & Personalization at DoorDash — Raghav Saboo, DoorDash
Raghav Saboo
AI Engineer World's Fair 20261:51:26
From Vibes to Production: Evaluating and Shipping AI Agents That Work 101 — Laurie Voss, Arize AI
Laurie Voss
Evals · Agent engineering · Observability and reliability
AI Engineer World's Fair 202615:34
Your AI Agent Has No Nervous System — Matt Gibiec, Dynatrace
Matt Gibiec
Coding agents · Observability and reliability · Developer workflows and testing
55:43
Build with Perception Agents — Emile Baizel & Shruti Arora, Amazon AGI Lab
Emile Baizel · Shruti Arora
Computer use · Coding agents · User feedback loops
AI Engineer World's Fair 202619:53
Give the Agent a Budget, Not a Token — Sachin Malhotra, Anthropic
Sachin Malhotra
AI Engineer World's Fair 202638:55
Building Self-Learning Loops for Your Agent — Fuad Ali, Arize AI
Fuad Ali
Agent engineering · Observability and reliability · Coding agents
AI Engineer World's Fair 202617:06
How We Built an Agent That Improves Itself — Zubin Aysola, Weights & Biases
Zubin Aysola
20:26
Build-Time vs. Run-Time: Why Dev Tools Fail in Production — Averi Kitsch & Prerna Kakkar, Google
Averi Kitsch · Prerna Kakkar
20:48
x402 isn’t good (yet) — Jan Curn, Apify
Jan Curn
AI Engineer World's Fair 202619:17
Stop Renting Intelligence: The Train-to-Deploy Loop for Specialized AI — Fireworks AI
Jetashree Ravi
Open weights · Fine-tuning · Infrastructure and deployment
AI Engineer World's Fair 202612:52
How Software Factories Improve Themselves — Suraj Gupta, Warp
Suraj Gupta
AI Engineer World's Fair 202620:41
From VLM/VLA's to Embodied Agents — Armen Aghajanyan, Perceptron AI
Armen Aghajanyan
15:04
The Agent Works. Does Anyone Trust It? — Michele Grant, Leading at Scale
Michele Grant
Safety and governance · Leadership · AI adoption metrics
AI Engineer World's Fair 20261:57:33
AI Security Engineer Foundations + Certificate — Javier Garza, Snyk
Javier Garza
Safety and governance · Shadow AI · AI bills of materials
20:48
Why AI Agents Need Million-Token Context — Thomas Wolf & Olive Song, MiniMax
Thomas Wolf · Olive Song
AI Engineer World's Fair 202622:21
The Chief AI Officer: Scientist, Architect, Coach — Rania Khalaf, WSO2
Rania Khalaf
Leadership · Enterprise · Industry applications
AI Engineer World's Fair 202615:11
Why Your Company Needs a Context Graph (and How to Build It) — Gil Feig, Merge
Gil Feig
RAG, context, and search · APIs, MCP, and protocols · Agent orchestration
AI Engineer World's Fair 202617:08
Taming the AI Hardware Cambrian Explosion — Abdul Dakkak, Modular
Abdul Dakkak
Infrastructure and deployment · GPU kernel backends · Coding and developer tools
AI Engineer World's Fair 202622:05
Coding Agents Don't Scale Themselves. Neither Do Your Teams. — Patrick Debois, Tessl
Patrick Debois
19:14
Building ambitious software — Jonathan Kelley, Dioxus Labs & Cognition
Jonathan Kelley
AI Engineer Code 202520:31
Lessons from Generating 12 Trillion Synthetic Tokens — Bogdan Gaza, DatologyAI
Bogdan Gaza
Data and model adaptation · Infrastructure and deployment · Observability and reliability
AI Engineer World's Fair 202619:40
Teaching LLMs to Speak Spotify — Yves Raimond & Jacqueline Wood, Spotify
Yves Raimond · Jacqueline Wood