Workflow Pain Points and Opportunities for Machine Learning

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dc.contributor.authorShallcross, Mike
dc.date.accessioned2019-12-06T19:21:11Z
dc.date.available2019-12-06T19:21:11Z
dc.date.issued2019-07-25
dc.description.abstractOverview of digital preservation ingest procedures used in the Indiana University Libraries's 'Born Digital Preservation Lab' with discussion of challenges and opportunities related to workflow development.
dc.identifier.citationShallcross, Mike. 'Workflow Pain Points and Opportunities for Machine Learning.' Presentation at ml4arc – Machine Learning, Deep Learning, and Natural Language Processing Applications in Archives, Chapel Hill, NC, July 25, 2019.
dc.identifier.urihttps://hdl.handle.net/2022/24862
dc.language.isoen
dc.rightsThis work may be protected by copyright unless otherwise stated.
dc.subjectDigital preservation
dc.titleWorkflow Pain Points and Opportunities for Machine Learning
dc.typePresentation

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