Application of AI, InsurTech, and Real Estate Technology
Explore emerging technologies transforming insurance and real estate industries through AI, machine learning, and FinTech innovations.
Explore emerging technologies transforming insurance and real estate industries through AI, machine learning, and FinTech innovations.
This course cannot be purchased separately - to access the complete learning experience, graded assignments, and earn certificates, you'll need to enroll in the full Fintech: Foundations & Applications of Financial Technology Specialization program. You can audit this specific course for free to explore the content, which includes access to course materials and lectures. This allows you to learn at your own pace without any financial commitment.
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What you'll learn
Master the fundamentals of InsurTech and emerging technologies
Understand AI and machine learning applications in insurance
Analyze real estate tech trends and market dynamics
Evaluate AI use cases in financial technology
Explore microinsurance and tech-enabled insurance solutions
Study successful FinTech implementation through case studies
Skills you'll gain
This course includes:
3.05 Hours PreRecorded video
3 quizzes
Access on Mobile, Tablet, Desktop
FullTime access
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There are 4 modules in this course
This course explores how emerging technologies are transforming the insurance and real estate industries. Students learn about AI and machine learning applications in InsurTech, from product design to claims management. The curriculum covers the fundamentals of Real Estate Technology, market trends, and key players disrupting traditional models. Through case studies of companies like Vanguard and Wealthfront, students gain practical insights into FinTech implementation and its future impact on financial services.
Module 1: InsurTech
Module 1 · 1 Hours to complete
Module 2: Real Estate Tech
Module 2 · 47 Minutes to complete
Module 3: Artificial Intelligence
Module 3 · 44 Minutes to complete
Module 4: Case Studies
Module 4 · 56 Minutes to complete
Fee Structure
Instructor
Adjunct Professor of Finance
Dr. Christopher Geczy is an Adjunct Professor of Finance at The Wharton School of the University of Pennsylvania, where he has been a faculty member since 1997. He serves as the Academic Director of both the Jacobs Levy Equity Management Center for Quantitative Financial Research and the Wharton Wealth Management Initiative. Dr. Geczy is renowned for his contributions to investment management education, having co-created the first full course on hedge funds at Wharton and developed courses on impact investing and various executive education programs. His academic background includes a B.A. in Economics from the University of Pennsylvania and a Ph.D. in Finance and Econometrics from the University of Chicago.Dr. Geczy's research interests encompass multifactor models, wealth management, risk management, asset allocation, and the performance of managed funds, including hedge funds and private equity. His work has been published in leading journals such as the Journal of Finance and Journal of Financial Economics. He is also active in media discussions on finance, with his research featured in outlets like The Wall Street Journal and Financial Times. At Wharton, he teaches courses such as "Application of AI, InsurTech, and Real Estate Technology," equipping students with modern financial strategies and insights into emerging technologies in finance.
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4.6 course rating
524 ratings
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