A significant hurdle in predicting the success of women-led startups is the scarcity of comprehensive and reliable data. Efforts to improve data collection and sharing among academic institutions, industry stakeholders, and government organizations are crucial. Enhanced data availability will not only support more accurate machine learning models but also contribute to a better understanding of the landscape for women entrepreneurs.
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