ATHE Approved Centre
Globally Recognized UK Qualifications
CIPS Approved Centre
Advance Your Career in Procurement & Supply Chain
Internationally Accredited Programs
Unlock Global Career Opportunities
Learn from Industry Experts
With Real-World Practical Experience
Career-Focused Training Programs
Designed for Students & Professionals
Upgrade Your Skills Today
With In-Demand Certifications
Flexible Learning Options
Online & On-Campus Classes Available
Trusted by Students Nationwide
Building Successful Careers
Enroll Now & Start Your Journey
Towards Professional Excellence
Admissions Open Now
Contact Us for Free Career Guidance
ATHE & CIPS Approved Center
CIPS ATHE
📍 Visit Campus 📞 +44 7405 619940 ✉️ admin@keleaders.com

AI and Data Analytics in Insurance

This event has passed
Start
May 4, 2026
End
May 8, 2026
,

AI and Data Analytics in Insurance

£4,300.00

Status

This event has passed

0 .20 Reserve your Seat

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.

Insurance professionals using AI and data analytics for risk assessment and claims management

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

Looking to leverage AI and data analytics for smarter insurance decisions? Contact our team to learn how this course can help improve risk management, fraud detection, and operational performance.

Contact Info:

       Enquiry at : admin@keleaders.com
       Whatsapp: 0044 790 125 9494
       For more details visit our website : www.keleaders.com

       

Please enable JavaScript in your browser to complete this form.
Name

Categories

AI & Technology Management

Duration

5 Days

Start Date

May 4, 2026

Training Formats

Classroom

Venue

Dubai, London, Madrid, Paris, Rome

Scroll to Top

Cips Level 5 Timetable For 2025/2026

Online and face-to-face* daytime and evening
classes run weekly as below.

Cips Medule

Medule Start Date

Medule End​ Date

Exam Date

L5M1

11.09.2025

23.10.2025

November 18th

L5M15

11.09.2025

23.10.2025

November 18th

L5M4

08.01.2026

19.02.2026

March 18th

L5M9

08.01.2026

19.02.2026

March 18th

L5M2

26.03.2026

30.04.2026

May 12th & 14th

L5M3

26.03.2026

30.04.2026

May 12th & 14th

L5M5

28.05.2026

02.07.2026

July 14th & 16th

L5M7

28.05.2026

02.07.2026

July 14th & 16th

Cips Medule

L5M1

Medule Start Date

11.09.2025

Medule End Date​

23.10.2025

Exam Date

November 18th

L5M15

Medule Start Date

11.09.2025

Medule End Date​

23.10.2025

Exam Date

November 18th

L5M4

Medule Start Date

08.01.2026

Medule End Date​

19.02.2026

Exam Date

March 18th

L5M9

Medule Start Date

08.01.2026

Medule End Date​

19.02.2026

Exam Date

March 18th

L5M2

Medule Start Date

26.03.2026

Medule End Date​

30.04.2026

Exam Date

May 12th & 14th

L3-M5

Medule Start Date

26.03.2026

Medule End Date​

30.04.2026

Exam Date

May 12th & 14th

L5M5

Medule Start Date

28.05.2026

Medule End Date​

02.07.2026

Exam Date

July 14th & 16th

L5M7

Medule Start Date

28.05.2026

Medule End Date​

02.07.2026

Exam Date

July 14th & 16th

Cips Level 4 Timetable For 2025/2026

Online and face-to-face* daytime and evening
classes run weekly as below.

Cips Medule

Medule Start Date

Medule End​ Date

Exam Date

L4M1

30.09.2025

28.10.2025

Nov 18th

L4M2

30.09.2025

28.10.2025

Nov 18th

L4M4

20.01.2026

24.02.2026

March 10th & 12th

L4M6

20.01.2026

24.02.2026

March 10th & 12th

L4M3

16.03.26

20.04.26

May 12th & 14th

L3M5

16.03.26

20.04.26

May 12th & 14th

L4M7

25.05.26

30.06.26

July 14th

L4M8

25.05.26

30.06.26

July 14th

Cips Medule

L4M1

Medule Start Date

30.09.2025

Medule End Date​

28.10.2025

Exam Date

Nov 18th

L4M2

Medule Start Date

30.09.2025

Medule End Date​

28.10.2025

Exam Date

Nov 18th

L4M4

Medule Start Date

20.01.2026

Medule End Date​

24.02.2026

Exam Date

March 10th & 12th

L4M6

Medule Start Date

20.01.2026

Medule End Date​

24.02.2026

Exam Date

March 10th & 12th

L4M3

Medule Start Date

16.03.26

Medule End Date​

20.04.26

Exam Date

May 12th & 14th

L3M5

Medule Start Date

16.03.26

Medule End Date​

20.04.26

Exam Date

May 12th & 14th

L4M7

Medule Start Date

25.05.26

Medule End Date​

30.06.26

Exam Date

July 14th

L4M8

Medule Start Date

25.05.26

Medule End Date​

30.06.26

Exam Date

July 14th