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About This Webinar
Generative AI was supposed to make content easier. For some teams, it did. But for many, it made things harder. More output, less structure, no clear ownership…. Add to that a technology that was never designed to handle the volume or complexity AI introduces, and the result is a growing pile of unreviewed, inconsistently tagged, channel-unready content, based on workflows that are about to break under the pressure.

Some teams are pulling ahead because they built a solid infrastructure.

In this session, we’ll get specific about what that infrastructure looks like, from content modeling to composable architecture, and how it becomes the foundation your AI stack actually runs on.

We'll discuss:
  • The “AI content debt” problem nobody's talking about
  • What "structured content" really means in an AI-driven environment (and why it matters more than ever)
  • How composable architecture allows to ship fast, reusable, and channel-ready AI content, and what makes speed sustainable
  • Practical lessons from modern implementations where AI, content, and composable technology work together successfully.
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Arthur Mstoyan
Head of SEO, Storyblok
Arthur is Head of SEO at Storyblok and he’s passionate about helping SaaS companies scale their organic growth. With expertise spanning technical SEO, content frameworks, and user-intent strategies, he focuses on future-proofing visibility across search engines and emerging AI platforms like ChatGPT and Gemini.
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Ryan Lunka
VP, AI & Agentic at Aries Solutions
Ryan is a product and operations leader with almost 20 years of experience across enterprise software, consulting, and high-growth startups, spanning commerce, integration, and AI. He is the VP of AI & Agentic at Aries Solutions, where he focuses on turning emerging AI capabilities into practical systems inside enterprise commerce environments.
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