Six data shifts that will shape enterprise AI in 2026

Source: VentureBeat

Overview

For decades the data landscape was relatively static. Relational databases (hello, Oracle!) were the default and dominated, organizing information into familiar columns and rows.
That stability eroded as successive waves introduced NoSQL document stores, graph databases, and most recently vector‑based systems that power generative AI.

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