Transform backpressure gaps: Pull-through transforms execute on-demand. Data doesn't cascade through intermediate buffers; it flows only when the consumer pulls. Stop iterating, stop processing.
Machine learning is also increasingly helpful for sifting through and categorising huge amounts of data. This can help to create early warnings about risks of fraudulent or unsafe food.
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