The role of standards and architectures to ensure successful business transformations in times of disruptive change
To see the abstracts for this meeting, click the Contribution List
CONTEXT
Many organizations that produce statistics are encountering disruptive changes to their operating environment, which lead to rapid and substantial transformation of the way they conduct their business. These disruptions include the use of Artificial Intelligence (AI), the drive towards multi-source statistics, as well as funding and policy changes.
The role of standards and architectures in business transformations will be examined in this workshop through two different lenses:
- Generative AI (GenAI) and Machine Learning (ML) in statistical production: How standards can facilitate the work of AI and improve the quality of its outputs, and how AI can streamline the production of standardized data and metadata for semantic and structural coherence.
- Multi-source statistics: How standards and architectures can facilitate and improve data management, interoperability, governance and other aspects of using, reusing, integrating and sharing data from multiple suppliers in a variety of contexts.
The target audience of the workshop includes staff in statistical organizations who are responsible for overseeing, developing or implementing business processes, information architectures, or new technologies as well as those who wish to modernize statistical production based on standards.
The Information Notice contains further details about this meeting.
