AI Ready Data
summary
Claims a public open metadata marketplace that assigns a unique URL to every column in customer‑facing tables, exposes machine‑readable JSON tied to ontologies (QGT, schema org), and inserts that URI into column comments so models can consume semantics. Works with Snowflake, Databricks and vendor tag systems and targets end‑Q2/Q3 rollout. Estate contains ~quarter‑million business terms and thousands of company columns; half of data is tabular; team prioritizes the most complex tables and acknowledges versioning and scale remain open problems.
AI-written summary · about
chapters (21)
- 0:00Introduction
- 0:21Session overview
- 1:03S&P Global data landscape
- 2:28AI ready data defined
- 3:52Data consumption problems
- 4:35Ambiguity in column names
- 5:38Open metadata marketplace
- 7:03Standardized metadata benefits
- 8:25Metadata critical for AI
- 9:29Real-world data discovery
- 10:54Financial data complexities
- 12:18Column-level metadata importance
- 13:20Vendor solutions limitations
- 14:25Balancing detail and usability
- 15:47Rollout and expansion plans
- 16:30Q&A: Mid-sized organizations
- 17:54Q&A: Scalability alternatives
- 19:00Q&A: Time-based metadata
- 20:24Q&A: Discoverability use cases
- 21:31Q&A: Metadata prioritization
- 24:39Q&A wrap-up
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