Over 94% of serious road accidents involve human error, which is why ADAS systems are under intense pressure to perform reliably (Source: NHTSA, 2022). But ADAS models are only as reliable as the data they train on. Choosing the wrong ADAS training data provider means building perception systems on inaccurate, incomplete, or inconsistently annotated datasets. […]
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An AI data pipeline in a healthcare organization handles protected health information. A pipeline in a financial services firm processes data subject to SOX, GLBA, and potentially SEC regulations. A pipeline in a European organization processes personal data that GDPR governs. In each case, the compliance requirements don’t apply only to the data at rest, […]
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The world speaks approximately 7,000 languages. Large language models have meaningful capability in perhaps 100 of them. The gap of 6,900 languages where NLP AI either doesn’t exist or performs unreliably is not primarily a modeling problem. Current transformer architectures can learn linguistic structure from data in almost any language. The gap is a data […]
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