Reliability Calls 2: Building Business-Aware AI — From Clean Semantics to Continuous Context скачать в хорошем качестве

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. ​In this edition, Jilong Kan (Sr. Director of Engineering, Flexport) joins us for a fireside chat about 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.” 00:00 Agenda 00:53 Fireside chat: How Flexport Built ‘Insights Builder’ 25:11 Insights Builder - Live walkthrough 42:32 Busting the ‘Data-Readiness’ & ‘Semantic Layer’ Myth 01:06:56 PromptQL Testimonials 01:08:05 Wrap : ) ----- PromptQL is the AI platform that delivers human-level reliability for natural language-based analysis and automation on your data & systems. Check out our features: https://promptql.io LinkedIn linkedin.com/company/promptql-io Forum forum.promptql.io Twitter x.com/promptQL -----