Big Data Information Architecture for AI
summary
Claims concrete wins: an 80 gigabytes Watson corpus beats humans at Jeopardy, Openshift as glue across clouds lets models access disparate data, and an asset system using Maximo runs predictive maintenance on millions of sensors. Metrics include 81% of companies lacking AI data understanding and a 38,000‑document corpus driving rig safety analytics that cuts expert search time and saves millions. Demos include a ferry bot, conversational car assistants, and phone visual inspection pipelines that actually work.
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chapters (16)
- 0:00Introduction
- 4:33The problem
- 5:16Fighting for attention
- 5:42Flow of data
- 7:19Initial sponsorship
- 9:41The problem of disparate data
- 10:40The history of AI
- 12:18IBM Debater
- 14:26Ollie
- 16:35Maximo Asset Management
- 18:20Requirements Management
- 19:44Building Management
- 24:50Example
- 30:46Mercedes
- 34:04Industrial context
- 35:10Visual inspection
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