Singapore's data professionals are among the most cautious globally when it comes to letting AI operate unsupervised, with 61% preferring a human-in-the-loop approach. This caution highlights concerns about data quality and governance issues, indicating that while organizations embrace AI strategically, operational trust remains low. Tech professionals should focus on strengthening data foundations and accountability structures to bridge the trust gap between AI capability and governance.
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Ali NematiWritten by Ali
