~/talk

Why Food Tech Matters: Finding Value in Data

Talkat DLD Munich 2022 · 2022-05-20..05-22· [data-engineering]
name:Alon Chen
links:none on file
links:none on file
slides:none on file

Global food systems waste ~30% of production and concentrate 60–70% of commodities in six “bread baskets,” while 1.3 billion tons go unused yearly; companies like Tastewise offer data as a new ingredient, using AI and predictive models on orders from Uber/DoorDash/Deliveroo and retail to guide farmers and brands (PepsiCo, Nestle, Campbell’s) toward local farming, vertical farms, fermentation and cell‑based protein. The claim: better consumer insight cuts the industry 90 percent failure rate on new products by targeting health (5× sustainability) and matching supply to demand.

AI-written summary · about

  1. 0:00Food tech and data's role
  2. 1:59Food industry impact and challenges
  3. 3:45Data transforms product development
  4. 5:31Data collection vs consumer understanding
  5. 7:35Food preferences by geography and demographics
  6. 9:20Reimagining food production and supply chains
  7. 12:29Connecting data across the food ecosystem
  8. 14:18Closing thoughts
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