Identifying emerging risk signals and automating manual tasks for a Global Insurance firm
Client
The client is one of the world's largest insurers and financial
services groups. The company offers Property, Health, Business Insurance to close to 130 million customers across 70 countries.
Project Context
The client wanted to automate and gather insights from various publications, social feeds and journals that their risk analysts use to identify and predict emerging signals across markets and the economy.
Challenges
The client employs hundreds of risk analysts who spend thousands of man hours reviewing medical journals, internet publications and social media feed to identify and extract emerging risk signals. The client wanted a mechanism to automate this and provide insights.
Solution
SquareShift's data experts developed OCR engine to extract content. The ML and NLP capabilities helped
gather insights and spot trends.
Project Objectives
Decrease the time spent by risk analysts in doing manual research.
Apply ML and NLP capabilities to derive meaning and generate insight.
Develop user-friendly dashboards to share information.
Solution Delivery
SquareShift built an AI-driven solution that processes and analyzes unstructured text data from various sources.
By combining OCR, NLP, and machine learning, they extracted meaningful insights and presented them through a real-time dashboard to support decision-making.
Testimonial
SquareShift’s work helped us cut down thousands of hours of manual effort and surface insights we didn’t know were possible to extract. This is already improving our underwriting efficiency and enabling faster decision-making
