Closing the AI Readiness Gap, Part 2: The Semantic Layer Imperative

How to build a central source of context for your AI agent

As AI agents become embedded in how organizations access and act on data, the risk isn’t just unreliable reports. It’s confidently making the wrong decisions at scale. AI uses the context you give it, and runs with it.

That’s why the semantic layer is no longer optional.

In this session, Christina Salmi (Analytics8) and Matthew Mullins (Coginiti) explore why the semantic layer has become essential infrastructure for AI-ready data and how our clients are approaching it.

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Meet the speakers

Christina Salmi,
Managing Director, Analytics8

Christina leads data strategy engagements at Analytics8, helping organizations define and operationalize modern data foundations that support analytics and AI. She works closely with executive stakeholders to align data initiatives to business outcomes, with a focus on governance and scalability.

Matthew Mullins,
CTO & Co-Founder, Coginiti

Matthew leads product and engineering at Coginiti, a semantic intelligence platform designed to make data more accessible, governed, and actionable. He is an active contributor to the data community, organizing Raleigh Low-Kay Data and North Carolina Apache Iceberg meetups.

Other data analytics resources

Closing the AI Readiness Gap, Part 2: The Semantic Layer Imperative

How to build a central source of context for your AI agent

Watch Now

Meet the speakers

Christina Salmi, Managing Director, Analytics8

Matthew Mullins, CTO & Co-Founder, Coginiti

Other data analytics resources

7 Elements of a Data Strategy

Data Strategy Playbook in Action: From Assessment to Building a Roadmap

5 Pillars of an Effective Generative AI Strategy

Get in touch

Christina Salmi,
Managing Director, Analytics8

Matthew Mullins,
CTO & Co-Founder, Coginiti