Your Data Says One Thing. Your AI Thinks Another.

Your product data lives in five places at once, your PIM, your ERP, your e-commerce platform, your marketplace feeds, your POS. Each one has its own idea of what "in stock" means and what the price is today. People have quietly reconciled these differences for years. AI agents don't. They query one system and act on whatever they find, at machine speed. Only 36% of major brands have product data that AI assistants can actually read correctly.

Aiven and SFEIR walk through what a governed, AI-ready foundation for product data looks like, and what it actually takes to build one. We'll also be joined by a SFEIR customer speaker, sharing a first-hand view from the field - speaker to be confirmed soon.

What to expect

Why AI agents expose product data problems that humans have been quietly patching for years
How a shared semantic layer gives every system, and every agent, the same answer for product, price, and availability
Real patterns from Retail + CPG data projects: what breaks first, and where the ownership fights happen
A concrete first step you can take the week after the webinar

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Get to know our speaker

Stan Dmitriev portrait — Stan Dmitriev
Product Director, Aiven Context
As Product Director at Aiven, Stan Dmitriev solves the "context gap" in modern data systems. Leading the Context initiative, he builds the tools that allow AI agents and users to find, understand, and act on data at scale. With a decade-long track record in product management and startup growth, Stan is a pragmatist who believes the best innovation happens in production. He helps organizations harness open-source data tech to innovate fast without sacrificing reliability.