Mapping the Future of Data & AI
summary
Argues that solving data gravity needs a data fabric that gives virtual, low‑duplication access with automated business and technical metadata and master‑data governance; cites an airport MVP that uses end‑to‑end AI to cut claim processing from hours/days to minutes. Stresses model trust via observability and continuous validation and points to IBM OpenScale for that. Predicts a leap from supervised to foundation models (12 languages learned over seven years) and notes a quantum roadmap with Qiskit and growing qubit counts toward advantage.
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chapters (8)
- 0:00Introduction
- 0:58Pandemic data gravity
- 2:00Data warehouses to fabric
- 3:26AI trust in hybrid cloud
- 4:53Flight disruption AI demo
- 6:49Data representations evolution
- 8:34Foundation models & quantum
- 13:10Summary
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