Standards and Machines: The Rise of Industry-specific Data Models

About The Webinar

The way data is being structured and shared is rapidly changing.

​​​​​​​At the SES Annual Conference this year, Propylon experts discussed with attendees a particular trend - one that is vital in an AI-driven future - 
that we are witnessing across industries: the rise in the development of industry-specific data models that facilitate information exchange between standards developers and consumers.

In order to gain insight into this particular trend, we delve into the case study of XBRL, an example of a successful data model that standardized the digitization of financial reports in a machine-readable form, to understand:

  • What were the conditions for its success?

  • What other examples of data models are we seeing? ​​​​​​​

  • What is the relevance of data models in an AI future? 

  • What are the opportunities for standards developers?​​​​​​​

  • Breiffni O'Domhnaill

    VP of Business Development at Propylon

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