Building accurate AI without clean data скачать в хорошем качестве

Building accurate AI without clean data

Let’s be real — clean semantic layers are a dream come true. And even when you get there, the context is constantly shifting: new data sources, evolving definitions, and changing business logic. So how do you build AI systems that stay reliable through all of that? In this quick lightning talk, we’ll show how PromptQL helps teams ship CompanyQL — a domain-specific planning language that encodes your unique semantics, tribal knowledge, and business logic into something LLMs can execute deterministically. 00:00 Intro 01:16 The Messy Data Reality 03:08 The Failed Promise Timeline 04:13 Why Semantic Layers Fail? 05:54 The Knowledge Graph Delusion 07:02 The Real Problem 08:36 Enter the Agentic Semantic layer 09:57 PromptQL Day 0 (Smart Analyst) 12:00 Demo Time 13:41 PromptQL Day X (Veteran Analyst) 14:43 Question 1: Analysis 16:20 Question 2: Analysis 16:36 Question 3: Analysis 16:53 Demo: How PromptQL Learns 19:39 Autograph: Technology that Powers the Learning 22:31 The Learning Advantage 22:55 Results That Matter - $100M impact, data still a mess 23:08 Testimonials 23:38 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 -----