Disrupting Lead Generation through Artificial Intelligence
summary
Dun & Bradstreet describes a production pipeline that fuses website text and images plus news and social signals, converts them to vectors with NLP CNN and graph models, then trains a boosting model to score similarity against a client’s customer list. Pipeline handles from thousands up to millions of prospects, uses an internal website downloader and initial human labeling that is now automated, and with a trade‑fair customer raises precision from ~15% to 85% (≈+70 percentage points).
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