Business: AI as an enabler for unlocking Industry Data: Monetizing Enterprise Value
summary
Claims a majority of enterprise data remains unused (90%+), and AI plus modern data patterns turn that into products and savings. Example outcomes: ingesting 10,000 on‑prem tables into an S3 data lake, shrinking data injection from 4–8 weeks to 2 hours, and an Intel deployment that saves thousands of engineer hours and millions in downtime. Core tech: ELT (load raw then transform), vector embeddings and vector DBs, Glue/SageMaker pipelines, on‑prem Articul8 knowledge graphs for semantic search and RAG-enabled incident resolution.
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chapters (11)
- 0:00Introduction
- 1:40Agenda and goals
- 4:57Challenges in data value
- 7:27AI framework for monetization
- 9:16Modern data architecture
- 24:31Trust in enterprise data
- 27:40Data injection strategies
- 31:37Intel’s manufacturing case
- 37:19Articulate AI’s platform
- 39:46Airline data monetization
- 44:07Summary
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