University of Pennsylvania
Application of AI, InsurTech, and Real Estate Technology
University of Pennsylvania

Application of AI, InsurTech, and Real Estate Technology

This course is part of Fintech: Foundations & Applications of Financial Technology Specialization

Christopher Geczy

Instructor: Christopher Geczy

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Gain insight into a topic and learn the fundamentals.
4.6

(550 reviews)

3 hours to complete
3 weeks at 1 hour a week
Flexible schedule
Learn at your own pace
Gain insight into a topic and learn the fundamentals.
4.6

(550 reviews)

3 hours to complete
3 weeks at 1 hour a week
Flexible schedule
Learn at your own pace

Skills you'll gain

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Shareable certificate

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Assessments

3 assignments

Taught in English

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This course is part of the Fintech: Foundations & Applications of Financial Technology Specialization
When you enroll in this course, you'll also be enrolled in this Specialization.
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There are 4 modules in this course

In this module, you’ll identify what key emerging technologies are being leveraged by the insurance industry. You’ll gain a deeper understanding of how artificial intelligence and machine learning technologies are utilized in InsurTech. You’ll discuss the methodology behind InsurTech’s innovations in the industry, from product design to claims management. You’ll also analyze the different ways of segmenting InsurTech firms and explore examples of microinsurance and full-enabled Insurtech firms. By the end of this module, you’ll have a more clearly defined understanding of Insurtech and how emerging technologies are increasing the value of the insurance market.

What's included

6 videos1 reading1 assignment

In this module, you’ll examine the fundamentals of Real Estate Technology. You’ll closely examine the background, definition, and size of the real estate tech market. You’ll gain a deeper understanding of the disruption that is happening in the real estate market through Real Estate Tech by studying examples such as Zillow and WeWork. You’ll also explore the trends and examples in residential and commercial real estate tech such as Blend, Lending Home, and Cadre. By the end of this module, you will gain a better understanding of the landscape and key financial goals of Real Estate Tech.

What's included

11 videos1 reading1 assignment

In this module, you’ll be introduced to the foundations of Artificial Intelligence and its use cases in the Financial Tech industry. You’ll begin by examining the background and market size of AI, and analyze the forecast of top use cases for AI. You’ll learn key use cases for AI in FinTech and discuss examples of AI in Robo-Advising such as Vanguard Personal Advisor Services and Machine Learning in InsurTech Companies such as IBM Watson. By the end of this module, you’ll have a richer understanding of AI, its uses and its impact in the fintech industry.

What's included

7 videos1 reading1 assignment

This module was designed to provide you with an opportunity to explore successful FinTech organizations around the world and learn how they integrated the benefits of FinTech into their organization. Warren Pennington, Principal in Vanguard’s Investment Management Group, and Andy Rachleff, Co-Founder and Executive Chairman of Wealthfront, are here to provide you with a deeper insight into their organizations. They’ll discuss applications of FinTech and the future of FinTech. By the end of this module, you’ll gain a better understanding of the practical applications of FinTech in a company.

What's included

2 videos

Instructor

Instructor ratings
4.6 (88 ratings)
Christopher Geczy
University of Pennsylvania
5 Courses90,554 learners

Offered by

University of Pennsylvania

Recommended if you're interested in Finance

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