Network Optimization
In Network Optimization, our annotators have a job that involves categorizing & labelling various aspects of network traffic data, such as packet types, protocols, source-destination pairs & bandwidth usage. This meticulous labelling allows for the identification of specific patterns & trends within the network traffic, enabling the optimization efforts to target areas of inefficiency effectively.
Customer Behavior Analysis
For Customer Behaviour Analysis, the annotation process starts with studying various customer interactions within the e-commerce platform's dataset. Our team then categorises the interactions & specific annotations are applied to classify data points such as product views, purchases, cart additions, and time spent on viewing products etc.
Fraud Detection
For Fraud Detection, our team uses categorical annotation process wherein each claim is labelled or categorized based on its characteristics (claim amount, type, policyholder details & historical patterns) to distinguish between legitimate & potentially fraudulent claims.