Page 50 - The Insurance Times July 2025
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Glossary






                    Important terms in Artificial Intelligence








         1. Artificial Intelligence (AI)                          documents-used in motor claims, property inspection,

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

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