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The History Factory Podcast
The History Factory Podcast
78 episodes
4 months ago
As artificial intelligence continues to reshape how organizations access and apply information, many companies are overlooking one of their most powerful resources: corporate archives. Chris Juhasz, senior director of archives at History Factory, explains how archival collections—when properly digitized, structured and made accessible—can serve as a trusted foundation for AI tools and enterprise-wide knowledge systems. These records hold critical context, institutional memory and source-verified data that large language models often lack.
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History
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As artificial intelligence continues to reshape how organizations access and apply information, many companies are overlooking one of their most powerful resources: corporate archives. Chris Juhasz, senior director of archives at History Factory, explains how archival collections—when properly digitized, structured and made accessible—can serve as a trusted foundation for AI tools and enterprise-wide knowledge systems. These records hold critical context, institutional memory and source-verified data that large language models often lack.
Show more...
History
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Dr. Agnes Arnold-Forster, Historian, Author, and Researcher
The History Factory Podcast
29 minutes 45 seconds
1 year ago
Dr. Agnes Arnold-Forster, Historian, Author, and Researcher
In this episode, we dive into nostalgia’s dual role as a management and creative tool. Dr. Agnes Arnold-Forster and History Factory’s Erin Narloch discuss how nostalgia is used in marketing to evoke emotional connections with brands and how organizations use it as a management tool to foster employee loyalty and engagement. Tune in for this conversation on the enduring influence of nostalgia.
The History Factory Podcast
As artificial intelligence continues to reshape how organizations access and apply information, many companies are overlooking one of their most powerful resources: corporate archives. Chris Juhasz, senior director of archives at History Factory, explains how archival collections—when properly digitized, structured and made accessible—can serve as a trusted foundation for AI tools and enterprise-wide knowledge systems. These records hold critical context, institutional memory and source-verified data that large language models often lack.