F1 scores and BLEU scores tell you whether your model works technically. They tell you almost nothing about whether it is delivering business value.
One of the most common mistakes in enterprise AI is defining success in terms of model performance metrics rather than business outcomes. A model can achieve 97% accuracy and still fail to deliver value if it is solving the wrong problem.
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Most AI investment decisions are based on hype, not evidence. After 300+ deployments, here is what the data actually shows about returns.
After helping over 200 UK executives secure AI investment, we know exactly what boards want to see — and what kills proposals before they get started.
Technical implementation is the easy part. Getting people to actually use AI — and trust it — requires a completely different skill set.
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