Vince Dacany
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Vince Dacany

CTO · Independent

Vince Dacany is a Data & AI leader and CTO with over 20 years of experience building data-intensive systems. He writes on the semantic gap in enterprise AI — why AI systems fail to read the room even when they have access to the data — and what organizations need to build to close it. His work focuses on the context infrastructure that separates AI that can process data from AI that can genuinely understand what that data means in practice.

Expertise in

Data ArchitectureAI ReadinessSemantic GapContext InfrastructureEnterprise AIData EngineeringAI Strategy

Specialty

Data & AI Leader

Experience

20+ years building data-intensive systems and AI platforms

Notable Work

CTO with 20+ years in data-intensive system design; author writing on the semantic gap in enterprise AI

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Resources

A curated library of Kurt's writing and Context & Chaos contributions.

Vince DacanyCTOData & AI Leader20+ years building data-intensive systems and AI platformsLinkedInSubstack

Expert Directory

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Prukalpa Sankar

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Co-founder, Atlan

Tathagata Das Sarma

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Charlotte Ledoux

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Data Governance Expert

Manoj Shanmugasundaram

Manoj Shanmugasundaram

Data Engineering Leader

Vince Dacany

Vince Dacany

CTO

Gaurav Ramesh

Gaurav Ramesh

Director of Engineering

Jessica Talisman

Jessica Talisman

Ontology Expert

Marc Dupuis

Marc Dupuis

CTO & Cofounder

Mahdi Karabiben

Mahdi Karabiben

Sr. Product Manager (Data & AI)

Sandipan Bhaumik

Sandipan Bhaumik

Tech Leader - Data & AI

Juha Korpela

Juha Korpela

Co-founder & Data Modeling Expert

Nandini Tyagi

Nandini Tyagi

Customer Experience Manager, Strategic Initiatives

Kurt Cagle

Kurt Cagle

Ontology Expert & Knowledge Graph Architect

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