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.
The Untold Story: Exploring the American Mafia with Louis Ferrante
The History Factory Podcast
58 minutes 6 seconds
1 year ago
The Untold Story: Exploring the American Mafia with Louis Ferrante
In this episode, host Jason Dressel interviews Lou Ferrante, a former mafia associate turned author, about the history of the American Mafia. Ferrante traces the mafia’s origins to Sicily in the Middle Ages and explores its evolution in American society. He discusses mafia ethics, business practices, and their impact on various industries, providing nuanced perspectives. He challenges misconceptions, highlighting the violent and illegal nature of the mafia, offering insights into the complex world of the mafia.
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.