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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.
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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.

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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