I’d like to understand how companies actually apply Data Science in real-world scenarios—especially in industrial contexts like the food sector. I already have a solid foundation in AI, so feel free to go beyond basics and dive into concrete use cases, architectures, challenges, and trade-offs. If possible, I’d also appreciate insights drawn from real-world experience or industry practice
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