Context and Chaos | The Community for Context engineers, Data and AI Practitioners

Where context meets the chaos of building with AI

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Latest Issue

If Intelligence Is Abundant, What Is the Moat?

AI intelligence is commoditizing at 300x cost reduction in two years — the durable enterprise moat is now organizational context, not model capability.
Performance is intelligence multiplied by context — not added. If your context is zero, your performance is zero, regardless of which frontier model you choose.
The three enterprise AI failure modes — connectivity, semantic, and institutional knowledge — are all context failures. Upgrading your model fixes none of them.

Read the Latest Issue

If Intelligence Is Abundant, What Is the Moat?

Practitioner Takes

The Onboarding Gap is Killing your AI Agents

"By month two, your best human is autonomous. Your best agent is still guessing."

Vivek Dubey

Data & AI Leader

Your Team Isn't Afraid of AI. They're Afraid of Being Wrong About AI.

"What your team's hesitation is actually telling you."

Nandini Tyagi

Customer Experience Manager, Strategic Initiatives

Conceptual Modeling Is the Context Engineering Nobody Is Doing

"The discipline data teams abandoned in the Big Data era is exactly what AI agents need now."

Juha Korpela

Co-founder & Data Modeling Expert

Context Graphs as AI Evaluation Infrastructure

"The Governance Layer Enterprise AI Has Been Missing."

Sandipan Bhaumik

Tech Leader - Data & AI

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

The Human Elements of the AI Foundations

"What AI quietly revealed about incentives, culture, and fragile foundations."

Gaurav Ramesh

Director of Engineering

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

The AI Analyst Hype Cycle

"What's Real, What's Vaporware, and What Nobody Wants to Admit."

Marc Dupuis

CTO & Cofounder

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

"We've been working on semantic representation for decades. What do they actually mean for AI?"

Jessica Talisman

Ontology Expert

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

"In a world of heterogeneity, the integrator always wins, not the application."

Prukalpa

Co-founder, Atlan

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

Juha Korpela

Co-founder & Data Modeling Expert

Nandini Tyagi

Customer Experience Manager, Strategic Initiatives

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

Juha Korpela

Co-founder & Data Modeling Expert

Nandini Tyagi

Customer Experience Manager, Strategic Initiatives

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

Latest Issuee

If Intelligence Is Abundant, What Is the Moat?

Practitioner Takess

The Onboarding Gap is Killing your AI Agents

Your Team Isn't Afraid of AI. They're Afraid of Being Wrong About AI.

Conceptual Modeling Is the Context Engineering Nobody Is Doing

Context Graphs as AI Evaluation Infrastructure

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)

The Human Elements of the AI Foundations

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

The AI Analyst Hype Cycle

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

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

Expert Directory

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Practitioner Takes