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AI, Semantics & Knowledge Infrastructure

AI initiatives depend on more than models. They depend on data quality, shared meaning, metadata, governance, provenance, and sustainable knowledge infrastructure.

Focus

  • Ontologies and controlled vocabularies.
  • Knowledge graphs and semantic interoperability.
  • Active metadata.
  • AI-ready data foundations.
  • Public data and software infrastructure.
  • Governance of shared knowledge assets.

Value proposition

Innovation Horizons helps organizations make the invisible infrastructure of AI and data reuse visible, discussable, and governable.