LIVE EVENT: March 26th, 11am ET
Every AI product team hits the same wall — just at different speeds.
The prototype works.
The demo lands.
Then production exposes every shortcut in your architecture: the data access that doesn't scale beyond a handful of sources, the integration that breaks when a second customer's stack looks nothing like the first, the governance model you planned to figure out later.
The numbers tell the story.
AI-native software providers are 3x more likely to ship 26+ external data integrations compared to traditional providers.
The gap between AI products that scale and those that stall isn't in the model — it's in how broadly and reliably they connect to the data their customers actually use.
Join product and engineering leaders from AnySoft, Euphonic, and TheNoah.ai for a candid roundtable on:
How architectural decisions compound as AI products scale
How teams build connectivity and governance in from day one
New research on how data integration choices impact accuracy in customer-facing AI
Whether you're building an AI-native product or embedding AI into an established SaaS platform, this session will help you architect for scale — not scramble to rebuild later.
