data-pipelines
33 talks
Just-in-Time Ontologies: What Cheap Intelligence Means for Data
Building AI Agents with Real-Time Web Data
Parsing the Epstein Files for JMail
From 15% to 90% GPU Utilization: Fix the Data Pipeline, Not the Model
From Raw Documents to AI-Ready Data
Lessons from Generating 12 Trillion Synthetic Tokens
Physical AI's Next Bottleneck Is Finding the Right Video
GTM Engineering: The Technical Bits
The Building Blocks of GTM Orchestration
How Web Data Infrastructure Powers the Next Generation of AI
The Rise of CaaS: Context-as-a-Service for Agentic AI
Taking Reinforcement Learning Cross Datacenter
Data and Environment Curation for Post-Training LLMs
State of Data
Your Moat Is Your Data Model
Enterprise Agents Have a Structure Problem
When Agents Meet Physical Data: The Other Physics of Agent Harnesses
Content Is Code
Structuring the Unstructured
From MCP to Scale: Pipelines That Build Themselves
Why building eval platforms is hard
Small Bets, Big Impact: Building GenBI at a Fortune 100
Multi Agent AI and Network Knowledge Graphs for Change
Scaling Enterprise-Grade RAG: Lessons from Legal Frontier
Robotics: why now?
"Data readiness" is a Myth: Reliable AI with an Agentic Semantic Layer
Beyond APIs: How AI Web Agents Are Automating the "Long Tail" of Knowledge Work
The Adversarial Path to the Personal Assistant
Insights from Snorkel AI Running Azure AI Infrastructure
RAG for VPs of AI
The Hierarchy of Needs for Training Dataset Development
We accidentally made an AI platform
The AI Pivot