According to Veritas, the average company stores around 10PB of data, with 52% being unclassified and 33% redundant, impacting storage costs and cyber security. Analyzing this data demands a new approach due to its complexity.
Generative artificial intelligence (GenAI) is gaining traction in corporate data management, but while executives view it positively, practical implementation remains uncertain. Businesses struggle with outdated data architectures, resulting in wasted spending and the inability to meet digital demands.
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