Organizations are struggling with data governance in the AI era due to data's increased movement and complexity. Traditional static data classification methods are insufficient because data context, such as ownership, access, and approval for AI use, is often missing. This governance gap, highlighted by IBM's finding that 97% of data breach victims lacked proper access controls, leads to data breaches and hinders AI development. AI-powered contextual classification can address this by connecting data to its relevant context, enabling organizations to build data trust and ensure responsible AI implementation. AI
IMPACT Organizations need to adopt AI-powered contextual classification to ensure data trust and mitigate risks associated with AI-driven data breaches.
RANK_REASON Article discusses challenges and solutions for data governance in the context of AI, offering expert opinion rather than a specific event.
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