We combined existing knowledge and toolsets build an intelligent automation platform for records and information management.
Autoclassification depends on machine readable data models, such as ontologies, that convey the requisite knowledge.
The canonical data model is the accepted standard for logical data models and it provides software developers with a standard template to build to.
Read about our research with metadata and data models to enable automation in this August 2014 issue of Information and Data Manager.
By studying successful systems, we can understand which design and functionality features will allow us to automate recordkeeping processes.
Aggregation allows for greater context when managing records, but there are challenges to achieving it in a digital environment.
The records continuum: what is is, how it works, the benefits, and innovations.