“If your team of engineers or data scientists is homogeneous—say, all male or all from a specific region—your AI models are likely to miss critical cultural nuances, leading to biased outcomes. A lack of diverse perspectives can skew results and simply fail to connect with huge swaths of the market.” — Audrey Michelin, Senior Director, Account Management of APAC at OpenX
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