Marketing leaders increasingly view AI and machine learning as tools to improve decision-making, automate repetitive tasks, accelerate insights, and optimize marketing performance—but not replace human intelligence. Experts from Kantar, Meta, and Reckitt emphasize that AI works best when paired with human creativity, empathy, and strategic interpretation. Key use cases include automating analysis, surfacing insights from massive research libraries, improving measurement in a cookieless world, predictive modeling, audience segmentation, and marketing optimization. The discussion also highlights concerns around bias, data ethics, and overreliance on automation. As organizations become more digitally fluent, AI is expected to play a larger role in forecasting demand, guiding media allocation, and connecting data across the entire customer lifecycle, while marketers remain responsible for context, storytelling, and business judgment.

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