Ridge Ai with Tableau Public’s “Godmother” - Ellie Fields
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Tim interviews Ellie about her background at Tableau (including launching Tableau Public) and SalesLoft, then introduces Ridge AI, co-founded with visualization researcher Jeff Heer, to improve data on the web. Ellie demos Ridge’s focus on three problems: performance (using Mosaic, DuckDB, and WebAssembly with browser-side computation), answering “long tail” questions via a linked AI data agent alongside dashboards, and making dashboards easier to create with an AI build agent that suggests and refines metrics and questions without manual chart construction. Ridge is designed for embedding via iframe or server embed for partitioned customer views, with validation to reduce AI SQL/chart errors and an interoperable approach to semantic layers and existing data stacks. They discuss pricing via free/trial tiers, MCP/API plans, enterprise AI adoption, semantic hygiene, and challenges of imperfect data.
00:00 Intro
00:23 Tableau Public Origins
01:43 From Tableau to SalesLoft
03:29 Why Data on Web Fails
07:33 Ridge AI Demo
08:27 Chat Meets Dashboard
10:35 Built for Embedding
12:33 Build Agent Dashboard
18:30 Embed Code and Sharing
19:27 MCP and Agent Workflows
21:11 Procedural Data Stories
22:49 AI Data Interface
24:08 Lowering BI Barriers
25:01 Semantic Stack Challenges
27:07 Buyer User Gap
28:28 Freemium Embedded Pricing
30:12 Discoverability And Procurement
33:37 Do Users Need Analytics
35:09 Web In The Workflow
36:38 Humans Need Sensemaking
37:48 Try Ridge AI
38:52 Enterprise AI Adoption
43:37 Semantic Hygiene Risks
44:46 Centralizing Data Gravity
46:51 Closing Thanks And Next Steps
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