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 Artificial Intelligence (AI) is transforming how organizations operate, innovate, and compete. From predictive analytics and intelligent automation to generative AI and autonomous agents, enterprises are investing heavily in AI technologies to improve decision-making and drive business growth. However, the success of AI initiatives depends on one critical factor: data. While organizations focus on collecting and managing operational data, they often overlook one of their most valuable assets—archived data. For decades, archived data has primarily been viewed as a compliance requirement or a cost-saving storage strategy. Today, that perception is changing. Archived data contains years of business knowledge, customer interactions, operational records, contracts, transactions, communications, and institutional expertise. When properly managed and modernized, this historical information can become a powerful asset that supports AI innovation and business intelligence . Transforming ar...