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  "documentTitle": "2021 Air Street Capital The State of AI Report 2021",
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      "text": "With automated labelling, and plateauing architecture performance, training data quantity and quality becomes the competitive metric for AI-first startups.",
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      "text": "With automated labelling, and plateauing architecture performance, training data quantity and quality becomes the competitive metric for AI-first startups.\nAutoML is enabling model-in-the-loop training data to become more common.\nML teams are launching more projects as confidence grows.\nThe four fastest growing computer vision use cases in 2021 are unstructured document processing, KYC, 3D CT/MRI, and ultrasound video.",
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