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data-pipelines

A collection of 11 posts

The Upstream Problem: Why Context Graphs Are Starving

The Upstream Problem: Why Context Graphs Are Starving

Foundation Capital just published what they're calling AI's trillion-dollar opportunity: context graphs. They argue that enterprise value is shifting from systems of record (Salesforce, Workday, SAP) to systems of agents. The new crown jewel isn't the data itself. It's the context graph:

🎄 On the First Day of Debugging: The Twelve Characters of Christmas

🎄 On the First Day of Debugging: The Twelve Characters of Christmas

🎵 On the first day of debugging, production gave to me: An emoji that broke awk's field count tree 🎵 A Holiday Horror Story Friday morning. Coffee in hand. You commit a documentation change before the holiday break. You've decided to get EXTRA cool, nothing fancy, just adding

🎄 On the First Day of Debugging: The Twelve Characters of Christmas

🎄 On the First Day of Debugging: The Twelve Characters of Christmas

🎵 On the first day of debugging, production gave to me: An emoji that broke awk's field count tree 🎵 A Holiday Horror Story Friday morning. Coffee in hand. You commit a documentation change before the holiday break. You've decided to get EXTRA cool, nothing fancy, just adding

WebAssembly 3.0 and the Infrastructure We Actually Need

WebAssembly 3.0 and the Infrastructure We Actually Need

"We've finished the model... when do we get to the value?" Here's what I'm watching happen in real time: DevOps teams are spending $$$$$$ annually on cloud egress fees just to move ML models between environments, and flow data to centralized hosting. Platform

WebAssembly 3.0 and the Infrastructure We Actually Need

WebAssembly 3.0 and the Infrastructure We Actually Need

"We've finished the model... when do we get to the value?" Here's what I'm watching happen in real time: DevOps teams are spending $$$$$$ annually on cloud egress fees just to move ML models between environments, and flow data to centralized hosting. Platform

WTF Do You Spend $300B On?: The Oracle-OpenAI Deal Decoded

Data Infrastructure

WTF Do You Spend $300B On?: The Oracle-OpenAI Deal Decoded

Discover the challenges and expenses behind OpenAI's $300 billion Oracle deal, revealing a true AI cost breakdown: 80% data prep, 20% training

WTF Do You Spend $300B On?: The Oracle-OpenAI Deal Decoded

Data Infrastructure

WTF Do You Spend $300B On?: The Oracle-OpenAI Deal Decoded

Discover the challenges and expenses behind OpenAI's $300 billion Oracle deal, revealing a true AI cost breakdown: 80% data prep, 20% training

Why Your 'AI-Ready' Data Isn't: The Hidden Pipeline Problem Breaking Production AI

Companies spent millions on GPUs and AI talent, only to discover their data pipelines can't actually feed production AI. The revolution isn't waiting for better models—it's waiting for intelligent data pipelines.

Why Your 'AI-Ready' Data Isn't: The Hidden Pipeline Problem Breaking Production AI

Companies spent millions on GPUs and AI talent, only to discover their data pipelines can't actually feed production AI. The revolution isn't waiting for better models—it's waiting for intelligent data pipelines.