Reliability Calls #2: Building Business-Aware AI — From Clean Semantics to Continuous Context
Every month, we unpack what it really takes to build Reliable AI — AI that doesn’t just demo well, but works reliably in production, handles edge cases, and earns trust over time.
Building Business-Aware AI — From Clean Semantics to Continuous Context
In this edition, Jilong Kan (Sr. Director of Engineering, Flexport) joins us for fireside chat of Flexport’s newly launched Insights Builder — an AI-powered tool built on top of a clean, unified semantic foundation that lets users ask plain-English questions and get real-time supply chain insights and build custom dashboards on-the-fly. But for most teams, that kind of data foundation is years away.
So what do you do in the meantime? Even Flexport’s team is evolving — adding new context, new data sources, and constantly adapting as business definitions shift.
After the fireside chat, the PromptQL team bust the ‘Data-Readiness’ & 'Semantic Layer' Myth
You’ll leave with practical ideas for shipping reliable AI today, even if your data isn’t “AI-ready.”
Who should attend:
AI platform leads, semantic layer owners, and technical decision-makers working on GenAI systems that need to operate with real-world reliability and context.
🗓️ Agenda
🔥 Fireside chat with Jilong Kan (Sr. Director of Engineering, Flexport)
Shipping Business-Aware AI: How Flexport Built Insights Builder
Flexport’s Insights Builder gives customers the ability to transform complex data interactions, making insights and generating custom dashboards as accessible as asking a natural language question. But under the hood, this system is powered by a clean semantic foundation, meticulously built to support accuracy, extensibility, and customer context.
In this fireside chat, we’ll explore:
How Flexport approached building on top of a unified semantic layer
How the team handles evolving business definitions and continuous context
The tooling they’ve built for monitoring accuracy, both online and offline
Lessons learned from turning a great AI idea into a trusted product
It’s not just about being AI-ready — it’s about staying AI-reliable as the ground shifts beneath you.
⚡ Lightning Talk + Live Demo with the PromptQL Team
Busting the ‘Data-Readiness’ & 'Semantic Layer' Myth
Teams sink years into “getting data ready,” yet static semantic layers still botch context—turning GM into General Motors, mis-counting “active” customers, and ignoring tribal knowledge locked in employees’ heads.
Discover why this rigidity silently drains millions and how an agentic semantic layer flips the script, delivering reliable answers even as your business evolves.
Event Details
When: Thursday, June 26, 2025 at 9:00 AM PST
Where: Online (details to be provided upon registration)