Modern Data 101
Articles about Modern Data 101
Context: What Do They Mean When They Say It?
Ten things called “context”, how they fit together, and which ones matter
The Data Product’s Second Customer: Why Context Is Only Half of What an AI Agent Needs
Data products now serve two customers. Context informs one, confidence must satisfy both.
A Practical Guide to Understanding Your Business as a Data Person
The blueprint for aligning data teams with business reality.
Data Infrastructure as Civic Infrastructure: The Data Foundation of Governance
How Information Systems Form the Invisible Foundation of Modern Data Governance
The Pike Effect: Institutional Conditioning in the AI Era
Why the most dangerous thing in enterprise AI is not what you don't know, but what you know that no longer applies
Manage Intelligence as a Fiduciary Asset: Redefining Maturity in the AI Era
A data leader's perspective on balancing speed and governance, enabling decision intelligence, managing shadow data, and building resilient teams.
The Unified Dependency Graph: Stop Agentic AI From Outrunning Its Own Architecture
Why column lineage, semantic layers, and model registries still don't talk to each other, and why agentic AI needs a traceable path from raw data to every output it produces.
Dawn of New Governance Laws for AI Agents: Real-Time “Control” for Autonomy
Why AI agent governance must happen at runtime and how governance changes in the face of agentic speed.