If Your Data Can't Move, Your AI Strategy Is Doomed
DavidLinthicum · x · 2026-08-06
The author argues that many enterprise AI strategies are built on a flawed assumption: centralizing all data into a single platform (often a public cloud) for model training and deployment.
In reality, enterprise data is heavily fragmented across business units, SaaS platforms, edge environments, and legacy systems. Because this data is often regulated or sensitive, it cannot simply be moved. Successful AI initiatives must prioritize data connectivity and integration rather than ignoring architectural realities.
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