AI and Data Analytics in Insurance: A Complete Guide
Course Overview
Artificial Intelligence (AI) and Data Analytics are transforming the insurance industry by enabling **faster underwriting, predictive risk assessment, personalized policies, fraud detection, and optimized claims processing**.
**AI and Data Analytics in Insurance: A Complete Guide** provides participants with a comprehensive understanding of how AI, machine learning, and analytics tools are applied to insurance operations, risk management, and strategic decision-making.
The course combines theoretical knowledge with practical applications and global case studies, preparing participants to implement AI-driven solutions in real-world insurance scenarios.
Course Objectives
By the end of this course, participants will be able to:
1. Understand the fundamentals of AI, machine learning, and data analytics in insurance.
2. Apply predictive analytics to risk assessment, pricing, and claims management.
3. Explore AI-based underwriting and fraud detection techniques.
4. Leverage big data and IoT for personalized insurance products.
5. Analyze global case studies in AI-driven insurance innovations.
6. Evaluate regulatory, ethical, and governance considerations in AI adoption.
Learning Outcomes
Participants will be able to:
* Design AI-based models for risk assessment and underwriting.
* Apply predictive analytics to pricing, claims, and fraud detection.
* Implement AI tools for customer segmentation and personalized policies.
* Analyze IoT and sensor data for real-time risk management.
* Understand ethical and regulatory frameworks for AI in insurance.
* Evaluate successful AI and data analytics applications from global insurers.
Who Should Attend
* Insurance Professionals & Underwriters
* Risk Management Specialists
* Data Scientists and Analysts in Financial Services
* InsurTech Entrepreneurs and Product Managers
* IT and AI Professionals in Finance
* Policy Makers and Compliance Officers
* Graduate Students in Insurance, Finance, Data Science, or AI
Course Outline (5 Days)
Day 1 – Introduction to AI & Data Analytics in Insurance
* Overview of AI, machine learning, and big data
* Digital transformation in the insurance industry
* Predictive analytics and its applications
* Hands-on activity: Exploring insurance datasets
Day 2 – AI in Underwriting and Risk Assessment
* AI-driven underwriting models
* Risk scoring using historical and real-time data
* Customer segmentation and profiling
* Hands-on activity: Build a simple predictive underwriting model
Day 3 – Claims Management & Fraud Detection
* AI-powered claims automation
* Fraud detection algorithms and anomaly detection
* NLP and document processing in claims
* Hands-on activity: Detecting fraud patterns in sample data
Day 4 – IoT, Sensors & Personalized Insurance
* IoT and telematics for real-time risk monitoring
* Usage-based insurance and dynamic pricing models
* Personalized insurance products using AI analytics
* Hands-on activity: Designing a usage-based insurance product
Day 5 – Regulatory, Ethical & Strategic Implementation
* Ethical considerations in AI adoption
* Regulatory compliance for AI in insurance
* Case studies: Progressive, Lemonade, Ping An, AXA
* Action Plan: Develop an AI strategy for a modern insurance company
Certification
Participants will receive the
**Certificate in AI and Data Analytics in Insurance**
from **KE Leaders Training Centre, London**, validating their expertise in AI applications, predictive analytics, and strategic digital innovation in the insurance sector.
Key Benefits
✔ Learn AI and analytics tools for underwriting, claims, and risk assessment
✔ Implement predictive and personalized insurance models
✔ Study real-world AI applications from global insurance leaders
✔ Understand IoT and data-driven risk management solutions
✔ Navigate ethical, regulatory, and governance challenges
✔ Gain practical experience for InsurTech, digital insurance, and analytics roles
Contact Info:
Enquiry at : admin@keleaders.com
Whatsapp: 0044 790 125 9494
For more details visit our website : www.keleaders.com
