$59.99
Certification

Industry recognized certification enables you to add this credential to your resume upon completion of all courses

Need Custom Training for Your Team?
Get Quote
Call Us

Toll Free (844) 397-3739

Inquire About This Course
Instructor
Paul Warren, Instructor - AI for Insurance Executives

Paul Warren

Studied Computer Science at Stanford University and has more than 3 years of experience handling AI projects around the world.

Instructor: Paul Warren

Why and how to incorporate AI into your insurance business

  • Avoid common mistakes many executives make when managing AI teams and projects.
  • Envision how AI will transform the insurance industry.
  • Instructor studied Computer Science at Stanford University and has more than 3 years of experience handling AI projects around the world.

Duration: 1h 07m

Course Description

Designed to equip insurance executives with the knowledge, frameworks, and practical advice you need to start incorporating AI into your business today.

What am I going to get from this course?

  • Start incorporating AI into their businesses
  • Avoid common mistakes many executives make when managing AI teams and projects
  • Envision how AI will transform the insurance industry
  • Understand how to be transparent and fight bias in AI systems

Prerequisites and Target Audience

What will students need to know or do before starting this course?

  • None, not a technical course!

Who should take this course? Who should not?

  • Insurance executives
  • Executives in other industries interested in AI
  • Anyone interested in learning about AI+Insurance

Curriculum

Module 1: AI for Insurance Executives

Lecture 1 Overview - Introduction

Module 2: Why AI?

Lecture 2 The Age of Artificial Intelligence

Module 3: What is AI?

Lecture 3 Your AI Glossary

Module 4: How is AI revolutionizing insurance?

Lecture 4 AI for Touchless Claims
Lecture 5 AI For Proactive Customer Relationships

Module 5: How can you start incorporating AI?

Lecture 6 Resource Survey: What are You Starting With?
Lecture 7 Types of Analysis: What can you do with those resources?
Lecture 8 Pilot Projects: How Can You Get Started?
Lecture 9 Deploying AI: How Can You Operationalize it?
Lecture 10 AI Transparency and Bias

Module 6: Conclusion

Lecture 11 Recap and Closing Thoughts
350