AI is helping to manage waste and recycling, but training ML models to recognize waste types requires processing large datasets. Recycling startup Candam uses MLtwist to sift through it all and speed up training.
An AI data validation company had a massive amount of data with 100K file transformations and an ambitious deadline to meet. They used MLtwist to get it done ahead of schedule and surpass accuracy targets, all without scaling headcount.
The Ultimate Guide to AI Data Pipelines: Learn how to Build, Maintain and Update your pipes for your unstructured data
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