Enterprise AI data pipelines should start with systems of record, argues Craig Mullins
craigmullins · x · 2026-10-21
In a TechChannel essay, Craig Mullins argues enterprise data strategy has long been about collecting, storing, and moving data — warehouses, lakes, cloud copies. AI changes the equation: models need data that is trusted, understood, governed, and delivered with context. He proposes building an 'AI data supply chain' that traces information from source to application, starting with the enterprise's systems of record. LLMs, vector databases, RAG, and agents are downstream components; the fundamental question is where business truth originates.
More from Companies & People
- Vercel employee #6 looks back on 10 years and 4,000+ merged PRs — dscape · 2026-10-21
- Vasuman: There's no silver bullet for enterprise AI transformation — vasuman · 2026-10-21
- Musk: SpaceX to catch both Super Heavy booster and Starship on Flight 15 — XFreeze · 2026-10-21
- Aleksander Madry returns to OpenAI to work on superintelligence safety alongside Merytm — sama · 2026-10-21
- a16z talks health AI with OpenAI's Karan Singhal: 300M people weekly ask ChatGPT health questions — a16z · 2026-10-21
- YC F26's Dreamscale Labs: Four College Dropouts Building Cloud Inference for Robotics — ycombinator · 2026-10-21