Context and Chaos — Where context meets the chaos of building with AI
Where context meets the chaos of building with AI
Real takes from data and AI practitioners. No vendor slides. No hype. Just what actually happened, what worked, and why it matters.
Latest Issue
Conceptual Modeling Is the Context Engineering Nobody Is Doing
- LLMs make context obligatory — models have a general grasp of how things work, but can't bridge to an organization's specific idiosyncrasies without explicit, governed semantic context.
- The root cause of most enterprise AI context failures is the absence of a knowledge plane: a cross-platform, technology-agnostic layer that encodes semantic meaning independent of technical data objects.
- Conceptual modeling — a discipline the industry abandoned in the Big Data era — provides a proven, incremental path to building that knowledge plane without a massive multi-year documentation effort.
Practitioner Takes
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
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
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