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Why Structured Data May Be AI’s Next Enterprise Frontier

Enterprise AI just hit a wall. The models everyone's betting on were trained on the open web. Now vendors are racing to unlock the $trillions locked in corporate databases.

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The KeyNews take

Why it matters

Structured data represents an untapped frontier for enterprise AI deployment—moving beyond unstructured text to tap into relational databases, data warehouses, and transaction systems where real business value lives. This shift signals a maturation of AI adoption from chatbots to mission-critical business intelligence.

The key facts

7 to know
  1. Enterprise technology vendors competing to enable AI on structured/relational data

  2. Focus areas: databases, data warehouses, transaction systems

  3. Represents shift from unstructured (web text) to structured (enterprise data) AI applications

  4. Strategic frontier for enterprise AI monetization and differentiation

  5. Enterprise technology vendors focusing on structured/relational data in databases, data warehouses, transaction systems

  6. Shift from unstructured to structured data as frontier for enterprise AI

  7. Competitive race among vendors to enable AI-to-database workflows

Go to the source

Forbes Innovationforbes.com

Publisher excerpt: Enterprise technology vendors are racing to make AI work against the structured and relational data inside databases, data warehouses, and transaction systems.
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