Why better data could be the key to AI-driven food RD
Food, beverage and wellness companies are facing increasing complexity in product development due to fragmented data. Information exists in incompatible formats—supplier specs in PDFs, trial results in spreadsheets, regulatory requirements via email—slowing development cycles. The same ingredient may have multiple names across documents, requiring time-consuming data matching and verification before AI systems can be effective.
Key points
- Food R&D developers spend more time managing fragmented data than developing products
- Information exists across PDFs, spreadsheets, emails with inconsistent naming conventions
- Better data integration could unlock AI's potential in food safety and innovation
Summary and key points written by AI from the headline and a short excerpt, so they can be incomplete or wrong. YourStory did the reporting; read the original for the full story.
Read the full story at YourStory
