Six data shifts that will shape enterprise AI in 2026
In brief:
For decades the data landscape was relatively static.
Why this matters
Signals where the AI industry is heading.
Read more details
Major AI lab announcement.
Relational databases (hello, Oracle!) were the default and dominated, organizing information into familiar columns and rows.
Open receipts to verify and go deeper.
About this source
- Source
- VentureBeat
- Type
- News Coverage
- Published
- Credibility
- Reported by VentureBeat — check primary source for details
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VentureBeat
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Six data shifts that will shape enterprise AI in 2026
TL;DR
For decades the data landscape was relatively static.
Quick Data
- Type
- News Coverage
- Credibility
- Reported by VentureBeat — check primary source for details
- Published
Builder Context
Track implications for your stack/vendors. Also: verify benchmark methodology; note model size and inference requirements.
Full Analysis
Major AI lab announcement.
Relational databases (hello, Oracle!) were the default and dominated, organizing information into familiar columns and rows.
Open receipts to verify and go deeper.
S Save
O Open
B Back
M Mode
