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Dev.to1 min read

The Missing Test Suite: Why AI Projects Fail...

Most AI projects never ship. The gap isn't the model — it's the lack of testability. The Uncomfortable Truth Gartner predicted that through 2022, 85% of AI projects would deliver erroneous outcomes due to bias in data, algorithms, or the teams managing them [1]. VentureBeat reported that 87% of data science projects never make it into production [2]. McKinsey's 2023 State of AI report confirmed that while generative AI adoption is accelerating, most organisations still struggle to move beyond ex
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