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09. Head of APAC Technical Field Marketing,
Every AI ambition in food and beverage, from faster reformulation to predictive shelf-life, rests on a strong data foundation. Yet R&D data is often fragmented across lab notebooks, spreadsheets, sensory testing and supplier records. How are you tackling this foundational challenge, and what has it taught you about making food R&D data truly AI-ready at scale?
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