Application of AI, InsurTech, and Real Estate Technology

  • 4.6
Approx. 4 hours to complete

Course Summary

Learn how artificial intelligence and machine learning are revolutionizing the insurance and real estate industries in this course from Wharton School of the University of Pennsylvania.

Key Learning Points

  • Discover how AI and machine learning are being applied to the insurance and real estate industries.
  • Learn from industry experts and practitioners through real-world case studies.
  • Explore the potential impact of AI and machine learning on these industries and their customers.

Related Topics for further study


Learning Outcomes

  • Understand the basics of AI and machine learning and their applications in the insurance and real estate industries.
  • Gain insights into real-world case studies and examples of AI and machine learning in action.
  • Learn about the potential impact of AI and machine learning on these industries and how to prepare for the changes ahead.

Prerequisites or good to have knowledge before taking this course

  • Basic understanding of AI and machine learning
  • Familiarity with the insurance and real estate industries

Course Difficulty Level

Intermediate

Course Format

  • Online
  • Self-Paced
  • Video Lectures

Similar Courses

  • Artificial Intelligence in Business
  • Data Analytics for Business
  • Real Estate Investment

Notable People in This Field

  • Andrew Ng
  • Fei-Fei Li

Related Books

Description

In this course, you’ll learn about the emerging technologies in Artificial Intelligence and Machine Learning that are utilized in InsurTech and Real Estate Tech. Professor Chris Geczy of the Wharton School has designed this course to help you navigate the complex world of insurance and real estate tech, and understand how FinTech plays a role in the future of the industry. Through study and analysis of Artificial Intelligence and Machine Learning, you’ll learn how InsurTech is redefining the insurance industry. You’ll also explore classifications of insurtech companies and the size of the InsurTech, Real Estate Tech, and AI markets. You will also explore FinTech specialties with Warren Pennington from Vanguard. By the end of this course, you’ll be able to identify emerging technologies of AI, Machine Learning, and Financial Technologies from a variety of insurance and real estate tech companies and their impact in the future of finance and investments.

Outline

  • Module 1: InsurTech
  • Introduction to InsurTech
  • Emerging Technologies: AI & Machine Learning
  • Redefining Insurance Industry
  • Classifications of InsurTech Companies
  • Investment & Market Size of the InsurTech Industry
  • InsurTech, FinTech, & Financial Inclusion
  • Module 1 Lecture Slides
  • Module 2: Real Estate Tech
  • Industry Background
  • What is Real Estate Tech?
  • Size of the Global Real Estate Tech Market
  • Real Estate Tech: Exemplary Companies
  • Disruptive Incrementalist
  • Residential Real Estate Tech Startups
  • Trends in Residential Real Estate Tech
  • Commercial Real Estate Sector
  • Data
  • Commercial Real Estate Tech Examples
  • Conclusion
  • Module 2 Lecture Slides
  • Module 3: Artificial Intelligence
  • Background of AI
  • AI Market Size
  • Applications and Companies
  • Use Cases for AI in FinTech
  • The Future of AI in Robo-Advice
  • Machine Learning
  • Conclusion
  • Module 3 Lecture Slides
  • Module 4: Case Studies
  • Creating the New Frontier of FinTech: Vanguard
  • Creating the New Frontier of FinTech: Wealthfront

Summary of User Reviews

Discover how AI is transforming the world of insurance and real estate technology in this course from Wharton School. Students praise the course for its practicality and case studies.

Key Aspect Users Liked About This Course

Practicality and real-world case studies

Pros from User Reviews

  • In-depth analysis of AI applications in insurtech and real estate technology
  • Real-life examples and case studies provided
  • Excellent course material and resources
  • Engaging and knowledgeable instructors
  • Good balance between theoretical and practical content

Cons from User Reviews

  • Some students found the course too basic
  • Course pacing could be slow at times
  • Limited interaction with instructors and peers
  • Certificate of completion is not free
  • Some students found the course too focused on US markets
English
Available now
Approx. 4 hours to complete
Christopher Geczy
University of Pennsylvania
Coursera

Instructor

Christopher Geczy

  • 4.6 Raiting
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