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Standards and Machines

What can Standards Development Organizations (SDOs) gain from the rise of industry-specific data models?

SDOs and organizations in regulated industries are seeing a huge shift towards machine learning and the importance of data management. How can standards developers ensure their standards are easily implemented and maintain that their IP is not misused? 

We are increasingly seeing a rising trend in the development of industry-specific data models whereby organizations within an industry are getting together to establish standardized naming conventions. This trend is critical in an AI-driven future.

We have helped navigate the challenge of creating and organizing data models to make standards accessible by both machines and humans alike. In an AI-first world, it is necessary to develop methods that facilitate the exchange of knowledge between standards makers and consumers.

Discover:

  • The PDF can play a new rule in an AI-driven world as the source of ground truth
  • Knowledge graphs and RAG methods can mitigate AI-related risks
  • The emergence of industry-specific data models represents an opportunity for SDOs
Standards and machines
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