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In this week's DataPro.News, an article titled "Has the Rise of Generative AI Caused a Deterioration in Data Trust?", explores the alarming decline in data trust within organisations, directly linking it to the increased adoption of generative AI. It highlights how data quality and governance issues have worsened significantly, with a particular focus on the challenges faced by data engineers in maintaining reliable data for AI systems. The article also addresses a widening skills gap and a disconnect between executive enthusiasm for AI and the operational realities of ensuring data integrity. Finally, it proposes strategies for data engineering teams to rebuild trust, such as implementing robust lineage tracking, automated quality monitoring, and transparent communication, while acknowledging regional variations in AI adoption and trust.
In this week's DataPro.News, an article titled "Has the Rise of Generative AI Caused a Deterioration in Data Trust?", explores the alarming decline in data trust within organisations, directly linking it to the increased adoption of generative AI. It highlights how data quality and governance issues have worsened significantly, with a particular focus on the challenges faced by data engineers in maintaining reliable data for AI systems. The article also addresses a widening skills gap and a disconnect between executive enthusiasm for AI and the operational realities of ensuring data integrity. Finally, it proposes strategies for data engineering teams to rebuild trust, such as implementing robust lineage tracking, automated quality monitoring, and transparent communication, while acknowledging regional variations in AI adoption and trust.