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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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.
Anders Sjoman, Author, VP, Communication at the Centre for Business History
The History Factory Podcast
31 minutes 20 seconds
1 year ago
Anders Sjoman, Author, VP, Communication at the Centre for Business History
In this episode, host Erin Narloch sits down with Anders Sjöman, an expert in history marketing and preservation, at the renowned Center for Business History in Stockholm. Together, they delve into the fascinating world of business archives and the power of storytelling in corporate heritage. Anders shares his personal journey, from a background in economics to his pivotal role in preserving and leveraging Sweden's business history.
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.
