Staff couldn't manually link 500k reviews to businesses shifting names. AI now phonetically matches and classifies every record.
A data-driven counter-trafficking organization monitors over 10,000 illicit massage businesses that pose as legitimate operations to facilitate illegal services.
Manual data collection could not scale to analyze 500,000 reviews or reconcile listings that lacked unique identifiers like tax IDs. Staff struggled...
“There are a lot of nuanced steps associated with data scraping and analysis, and we really wanted to automate the entire process instead of relying on our own data pipelines, which weren’t as efficient.”
Nonprofit using data and research to disrupt human trafficking networks in the US.
Cloud computing platform and on-demand infrastructure services.
Helped The Network design and develop an AWS-based data ingestion pipeline using ML and AI.
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