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Where context meets the chaos of building with AI

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ISSUE # 002

Context Graphs as AI Evaluation Infrastructure

Enterprise AI evaluation fails not because of model limitations, but because evaluation is decoupled from the governed context that determines what a correct answer means.
Context drift — when definitions, policies, and data sources change without the eval pipeline knowing — is the unnamed root cause of most enterprise AI failures.
The evaluation graph is a typed, versioned provenance layer that links every AI eval run to the governed context in force when it ran, making results legally defensible.

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Context Graphs as AI Evaluation Infrastructure

Practitioner Takes

Metadata Weekly Is Now Context and Chaos (& Cats!)

"The field moved to context engineering. The name finally caught up."

Prukalpa Sankar

Co-founder, Atlan

BI-Ready Is Not AI-Ready

"Your dashboards work. Your governance is solid. Your AI agent still hallucinates."

Vivek Dubey

Data & AI Leader

Gartner D&A 2026: Where the Context Layer Became a Budget Line Item

"Gartner's spending data, analyst predictions, and three days of floor conversations all pointed the same direction."

Tathagata Das Sarma

Data Leader

Data Governance vs AI Governance: Why It's the Wrong Battle

"The risk surface has expanded. The answer is one control plane, not another silo."

Charlotte Ledoux & Vivek Dubey

Data Governance Experts

OpenAI's Frontier Proves Context Matters. But It Won't Solve It.

Frontier validates the enterprise context thesis—yet risks accelerating AI sprawl unless organizations rethink context architecture.

Prukalpa

Co-founder, Atlan

Gartner D&A 2026: The Conversations We Should Be Having This Year

"A field guide to the questions worth debating in the hallways, and a checklist you can keep on your phone."

Tathagata Das Sarma & Vivek Dubey

Data Leaders

The Context Problem Nobody's Fixing in Talk to Data Initiatives (NL > SQL)

What testing natural language-to-SQL on enterprise-scale schemas revealed about production readiness.

Manoj Shanmugasundaram

Data Engineering Leader

Semantic Layers Failed. Context Graphs Are Next… Unless We Get It Right

"Context graphs are a hot new conversation these days. And yet I feel like I've seen this story before."

Prukalpa

Co-founder, Atlan

Context Graphs Are a Trillion-Dollar Opportunity. But Who Actually Captures It?

Jaya Gupta's thesis is right about context graphs, and wrong about who wins. In a world of heterogeneity, the integrator always wins, not the application.

Prukalpa

Co-founder, Atlan

Ontologies, Context Graphs, and Semantic Layers: What AI Actually Needs in 2026

We've been working on semantic representation for decades—knowledge graphs, ontologies, semantic layers. Jessica Talisman untangles what they actually are and what AI needs from them.

Jessica Talisman

Semantic & Knowledge Graph Expert

Expert Directory

Vivek Dubey

Data & AI Leader

Prukalpa Sankar

Co-founder, Atlan

Tathagata Das Sarma

Data Leader

Charlotte Ledoux

Data Governance Expert

Manoj Shanmugasundaram

Data Engineering Leader

Vince Dacany

CTO

Gaurav Ramesh

Director of Engineering

Jessica Talisman

Ontology Expert

Marc Dupuis

CTO & Cofounder

Mahdi Karabiben

Sr. Product Manager (Data & AI)

Sandipan Bhaumik

Tech Leader - Data & AI

Vivek Dubey

Data & AI Leader

Prukalpa Sankar

Co-founder, Atlan

Tathagata Das Sarma

Data Leader

Charlotte Ledoux

Data Governance Expert

Manoj Shanmugasundaram

Data Engineering Leader

Vince Dacany

CTO

Gaurav Ramesh

Director of Engineering

Jessica Talisman

Ontology Expert

Marc Dupuis

CTO & Cofounder

Mahdi Karabiben

Sr. Product Manager (Data & AI)

Sandipan Bhaumik

Tech Leader - Data & AI

Context and Chaos — Where context meets the chaos of building with AI

Latest Issuee

Context Graphs as AI Evaluation Infrastructure

Practitioner Takess

Metadata Weekly Is Now Context and Chaos (& Cats!)

BI-Ready Is Not AI-Ready

Gartner D&A 2026: Where the Context Layer Became a Budget Line Item

Data Governance vs AI Governance: Why It's the Wrong Battle

OpenAI's Frontier Proves Context Matters. But It Won't Solve It.

Gartner D&A 2026: The Conversations We Should Be Having This Year

The Context Problem Nobody's Fixing in Talk to Data Initiatives (NL > SQL)

Semantic Layers Failed. Context Graphs Are Next… Unless We Get It Right

Context Graphs Are a Trillion-Dollar Opportunity. But Who Actually Captures It?

Ontologies, Context Graphs, and Semantic Layers: What AI Actually Needs in 2026

Expert Directory

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Practitioner Takes