The game-changing future for Data and AI
summary
Claims that combining data and AI centers on data virtualization that presents a single control point to run SQL joins across heterogeneous sources while cataloging virtual objects with full metadata and lineage; an AutoAI suite that automates feature engineering, hyperparameter tuning and model monitoring; and a DataOps methodology that injects automation so the cited research figure of 80% of data scientists’ time on prep drops from months/quarters into days/weeks, delivered via the Cloud Pak for Data multi‑cloud platform to avoid vendor lock‑in.
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chapters (5)
- 0:00Introduction
- 1:27What is Data Virtualization
- 4:07What is Auto AI
- 5:51What is Data Ops
- 7:33Benefits of MultiCloud
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