Overview
Appen's Transformation: From Manual to Automated Fraud Detection with AI/MLProvectus |
Analytics & Modeling - Machine Learning Cybersecurity & Privacy - Intrusion Detection | |
Cement Education | |
Product Research & Development Quality Assurance | |
Fraud Detection Predictive Maintenance | |
Data Science Services Training | |
Operational Impact
The new ML-powered fraud detection platform brought about significant operational improvements for Appen. The platform enabled the team to process and handle 20x more jobs per day, with almost 97% of all jobs handled automatically. This increased efficiency led to a 25% reduction in scammer activity and a 5x drop in churned judgements. The platform also resulted in greater productivity and efficiency of staff, as Appen managed to avoid hiring 20+ data analysts, thereby considerably reducing operational costs. Most importantly, the new fraud detection platform helped Appen meet the customers’ requirements in regard to data quality and service efficiency. The changes made allowed the company to better satisfy existing and attract new enterprise clients, accelerating their global expansion. | |
Quantitative Benefit
Appen managed to scale trust and security of the platform, which allowed them to manage 20x more jobs per day | |
Appen's new platform detected 25% more scammers | |
97% of all jobs were handled automatically | |