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One way of thinking through the question of how AI can augment, strengthen and extend records management, is to ask: what are the most effective approaches that we already have without AI?
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One of the founding principles of archival science is that the original order of records should be respected.
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Data science techniques can be applied in any domain (medicine, psychology, marketing, baseball, records management etc.).
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Records management is a corporate function that takes place within the context of a wider digital economy, and is influenced by developments in that wider digital economy.
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The use of unstructured data as an input to generative AI processes Microsoft 365 Copilot is an example of a ‘retrieval augmented generation’ (RAG) system.
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If you were to tell me that you are going to apply artificial intelligence for records management purposes, then the first thing I would do is blink.
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My PhD thesis was published yesterday.
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The Information and Records Management Society’s Microsoft 365 Customer Advisory Board Working Group provides a channel through which the records management community can work up feature requests to pass to Microsoft in an effort to influence and inform t…
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Copilot is Microsoft’s branding for the way they plan to enhance end-user productivity by making generative AI capabilities available in all their offerings, including Microsoft 365.