Diversity in data is crucial for its ethical use, and women leaders are pioneering efforts to include a diverse range of voices and perspectives in data warehousing. By advocating for data sets that represent various demographics, they help mitigate biases in AI and machine learning algorithms, leading to fairer and more equitable technological outcomes. Their work ensures that the future of data-driven decision-making is inclusive and reflective of the diverse world we live in.
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