Live Webinar

The AI Hype: How to build the data foundation that makes AI work

Wednesday, August 19, 2026

9 AM PST | 12 PM EST

Nathan Loding, Data Advocate, Matia
Brendan Siebecker, Head of Partnerships, Matia
Brittany Bafandeh, CEO, Data Culture

Everyone wants to deploy AI. Far fewer organizations have the data foundation required to make AI reliable, scalable, and useful.

Many teams jump straight to copilots and AI agents only to discover fragmented pipelines, inconsistent data quality, missing business context, and disconnected tools become the biggest obstacles, not the AI models themselves.

In this webinar, Data Culture and Matia will walk through a practical framework for evaluating AI readiness and discuss what it actually takes to build a modern data foundation for AI initiatives.

You'll learn how leading organizations assess their current state, identify the biggest blockers, and create a roadmap that connects strategy with execution.

We'll close with a live demonstration of how a unified DataOps platform can simplify the infrastructure needed to support AI at scale.

Register for the Webinar

Fill out the form below to participate.

What We’ll Cover

Why most AI initiatives stall after sucessful proofs of concepts
The four dimensions of AI readiness every data team should evaluate
How data quality, governance, and context impact AI outcomes
Why modern DataOps has become foundational for AI adoption
A real world example of moving from fragmented tools to an AI ready data platform
A live walkthrough of Matia's unified DataOps platform

Who is this webinar for?

If you’re building AI initiatives or preparing your data systems for AI, this session will help you understand the foundational gaps that hold most teams back, and what it takes to fix them.

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Meet the Speakers

Get to know the experts who will be leading the event.

Nathan Loding, Data Advocate, Matia

Nathan works as a Data Advocate at Matia, working to enable data engineers and architects. He comes from a full-stack engineering background, specializing in data and accessibility across both large enterprise and bespoke small business solutions. He is a regular conference speaker, and co-organizer of the KidzMash family track of CodeMash.

Brittany Bafandeh, CEO, Data Culture

Brittany Bafandeh is CEO of Data Culture, where she helps organizations build AI-ready data foundations that turn data into real business value. She has led data and analytics initiatives at companies including Narrator, WeWork, and IBM, and today advises organizations on modern data strategy, analytics, and AI adoption. Her focus is helping teams bridge the gap between great data and better business decisions.

Brendan Siebecker

Brendan is an Account Executive at Matia, where he works with modern data teams to simplify complex data stacks through a unified DataOps platform. He partners with organizations looking to improve data reliability, reduce tool sprawl, and build scalable foundations for analytics and AI. Brendan has experience helping technical and business stakeholders evaluate modern data architectures and identify practical approaches to data integration, observability, and governance. He's passionate about helping customers solve real data challenges and unlock more value from their data.