1. Artificial Intelligence (AI)
The simulation of human intelligence processes by machines, especially computer systems, used in insurance for tasks like underwriting, risk assessment, fraud detection, and customer service.
2. Machine Learning (ML)
A subset of AI where systems learn from historical data to improve predictions and decisions without explicit programming-commonly used in pricing, claims forecasting, and risk scoring.
3. Natural Language Processing (NLP)
AI that enables machines to understand and process human language. In insurance, NLP powers chatbots, voice assistants, and document analysis.
4. Predictive Analytics
Using AI/ML models to predict future outcomes based on past data-applied in underwriting, customer retention, fraud detection, and loss forecasting.
5. Robotic Process Automation (RPA)
Use of software robots to automate repetitive, rule-based tasks like data entry, policy renewals, and form processing.
6. Telematics
Integration of AI with GPS and onboard sensors to monitor driving behavior, used in motor insurance for usage-based or behavior-based pricing.
7. Chatbots
AI-powered virtual assistants that handle customer queries, file claims, or provide quotes in real time-improving service efficiency.
8. Image Recognition
AI that analyzes images to assess damages or verify documents-used in motor claims, property inspection, and remote underwriting.
9. Deep Learning
An advanced ML technique using neural networks to analyze large, unstructured datasets like images, videos, and text-used in complex claims analytics.
10. Cognitive Computing
AI that mimics human reasoning and judgment-used for complex decision-making in underwriting or customer risk profiling.
11. Parametric Insurance
Insurance that uses AI to trigger automatic payouts when predefined conditions are met (e.g., rainfall thresholds, earthquakes)-eliminating lengthy claims processes.
12. Fraud Detection Algorithms
AI systems that flag suspicious claims by detecting anomalies in behavior or data-significantly reducing insurance fraud.
13. Intelligent Underwriting
AI-driven underwriting systems that analyze data in real-time, including lifestyle, health, and behavior, to assess risk more accurately and quickly.
14. Sentiment Analysis
AI technique that interprets customer emotions from text or voice, used to assess service quality, agent performance, or claim dissatisfaction.
15. Digital Twins
Virtual models of real-world assets or people, powered by AI and IoT, used in property or life insurance for risk simulation and personalized pricing.
