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Christopher Geczy

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.

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What's inside

Syllabus

Module 1: InsurTech
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.
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Traffic lights

Read about what's good
what should give you pause
and possible dealbreakers
Focuses on FinTech and how it affects the future of finance
Covers a wide range of topics, including AI, machine learning, and real estate technology
Instructor Christopher Geczy is a Wharton School professor
Examines how AI and machine learning are being used in the insurance and real estate industries
Taught by experts in the FinTech industry
Provides case studies on successful FinTech organizations

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Reviews summary

Ai, insurtech, and real estate tech overview

According to learners, this course provides a highly relevant and timely overview of how AI and ML are transforming the InsurTech and Real Estate Tech industries. Students appreciate the focus on practical applications and real-world case studies, finding the insights from expert guest speakers particularly valuable. While praised as a solid foundation for understanding the landscape, some note that it offers an introductory-level perspective and is not intended for deep technical dives into AI/ML algorithms.
Clear organization by sector.
"The course is well-structured into modules focusing on InsurTech, Real Estate Tech, and AI, which helps in understanding each area."
"I found the modular approach easy to follow."
"Breaking down the content by sector made it digestible and clear."
"The flow from basic concepts to case studies felt logical."
Provides a foundational understanding.
"It provides a good high-level introduction to the fields, covering the basics of how AI/ML are used in InsurTech and Real Estate Tech."
"This course is excellent for getting a broad understanding of the landscape and key players."
"Gave me a solid foundation to explore these topics further."
"Perfect for someone looking for an introduction to the intersection of finance, tech, and these industries."
Real-world examples and expert views.
"I really appreciated the real-world examples and case studies discussed. Hearing from industry professionals like Warren Pennington was invaluable."
"The case studies made the concepts tangible and showed how these technologies are applied in practice."
"Insights from the guest speakers added significant value and credibility to the course content."
"Learning about companies like Zillow and Vanguard's approaches provided great context."
Topics are current and impactful.
"This course helped me understand how AI is currently impacting the insurance and real estate markets. The topics are very timely and relevant to my work."
"I gained valuable insights into the latest trends in InsurTech and Real Estate Tech. The content feels very up-to-date."
"The application of AI in these specific sectors is a very relevant area right now, and this course covered it well."
"Provides a good look at how technology is disrupting these traditional industries."
Not a deep technical dive.
"While the overview is good, don't expect deep technical dives into the AI models themselves. It's more for understanding the business application."
"For those with a technical background, the AI sections might feel a bit basic."
"This course is best suited for business professionals rather than technical AI/ML practitioners."
"I was hoping for a bit more detail on how the AI actually works in these applications."

Activities

Be better prepared before your course. Deepen your understanding during and after it. Supplement your coursework and achieve mastery of the topics covered in Application of AI, InsurTech, and Real Estate Technology with these activities:
Join a study group with fellow classmates
Engaging in collaborative learning through study groups fosters a supportive environment, enhances understanding, and improves retention of course material.
Show steps
  • Find a group of classmates with complementary skills and interests
  • Schedule regular study sessions
Attend an InsurTech or Real Estate Tech conference
Engaging with industry professionals at specialized conferences provides unique networking opportunities and allows you to stay abreast of emerging trends.
Browse courses on InsurTech
Show steps
  • Identify relevant InsurTech or Real Estate Tech conferences
  • Register and attend the conference
  • Network with professionals and experts
FinTech Tutorial Series
By following a series of guided tutorials on FinTech, you'll gain practical skills and knowledge in the field, including the use of AI and ML in financial services.
Browse courses on Financial Technology
Show steps
  • Enroll in a beginner-friendly FinTech tutorial series.
  • Complete the tutorials in sequence, following the instructions carefully.
  • Apply what you learn by completing the exercises and assignments.
Nine other activities
Expand to see all activities and additional details
Show all 12 activities
Review linear regression with MIT OpenCourseWare
Engaging in quantitative tutorials familiarizes you with key terminology, techniques, and applications within the broader AI/ML landscape.
Browse courses on Machine Learning
Show steps
  • Familiarize yourself with the concepts of linear regression
  • Practice fitting a linear regression model
AI and ML Algorithm Exercises
By completing a series of exercises and drills on AI and ML algorithms, you'll strengthen your understanding of the underlying concepts and improve your problem-solving skills in the field.
Browse courses on Artificial Intelligence
Show steps
  • Review the fundamentals of AI and ML algorithms.
  • Solve a variety of practice problems and exercises.
  • Analyze the results and identify areas for improvement.
Read "The Intelligent Investor" by Benjamin Graham
Gaining insights from classic literature on investing and financial planning will help shape your understanding of real estate and insurance as investment vehicles.
Show steps
  • Understand the principles of value investing
  • Apply Graham's strategies to evaluate real estate and insurance investments
Study Group for AI in InsurTech
Participating in a study group focused on AI in InsurTech will allow you to engage with peers, exchange ideas, and deepen your understanding of the subject matter.
Browse courses on Artificial Intelligence
Show steps
  • Find a study group or form one with classmates.
  • Establish a regular meeting schedule.
  • Review course materials and discuss key concepts.
  • Work together on assignments and projects.
Complete a course on Python for Data Science
Developing proficiency in Python and data science techniques will enhance your ability to analyze data and make informed decisions in the insurance and real estate domains.
Browse courses on Python
Show steps
  • Understand the basics of Python programming
  • Learn data manipulation and analysis techniques
Article on Real Estate Tech Trends
By writing an article on the latest trends in real estate technology, you'll stay updated on the industry and demonstrate your understanding of the role of AI and ML in transforming the real estate market.
Show steps
  • Research current trends and emerging technologies in real estate tech.
  • Identify key players and innovators in the industry.
  • Write an article that discusses the impact of AI and ML on the real estate industry.
Develop a data visualization to explore trends in the InsurTech industry
Creating visual representations of data empowers you to uncover actionable insights and gain a deeper understanding of complex concepts in the InsurTech domain.
Browse courses on Data Visualization
Show steps
  • Gather data on InsurTech industry trends
  • Select suitable data visualization techniques
  • Create and interpret the data visualization
InsurTech Case Study
By creating an in-depth case study on a specific InsurTech company, you'll gain hands-on experience analyzing and evaluating the use of AI and ML in the insurance industry.
Browse courses on InsurTech
Show steps
  • Research and select an InsurTech company to focus on.
  • Gather data and information about the company, its products, and its use of AI and ML.
  • Analyze the data to identify key trends and insights.
  • Develop a case study report that presents your findings and recommendations.
Develop a financial model for a real estate investment
Building financial models enables you to evaluate the financial viability of real estate investments, empowering you to make informed decisions and mitigate risks.
Browse courses on Financial Modeling
Show steps
  • Gather data on the real estate property and market
  • Build a financial model to forecast cash flows and returns
  • Analyze the results of the financial model

Career center

Learners who complete Application of AI, InsurTech, and Real Estate Technology will develop knowledge and skills that may be useful to these careers:
Technology Risk Manager
Technology Risk Managers are responsible for identifying and mitigating risks associated with the use of technology in an organization. The course you are taking will help you to develop the skills and knowledge necessary to be effective in this role. You will learn about the latest advances in artificial intelligence, machine learning, and other emerging technologies, and how these technologies are being used in the insurance and real estate industries. You will also gain an understanding of the regulatory landscape surrounding these technologies.
Insurance Underwriter
Insurance Underwriters assess risk and determine the appropriate level of insurance coverage for individuals and businesses. The course you are taking will help you to develop the skills and knowledge necessary to be effective in this role. You will learn about the different types of insurance, the factors that affect risk, and how to use data to make sound underwriting decisions.
Real Estate Agent
Real Estate Agents help people buy, sell, and rent property. The course you are taking will help you to develop the skills and knowledge necessary to be effective in this role. You will learn about the different types of real estate, the factors that affect property values, and the legal and ethical issues involved in real estate transactions.
Mortgage Broker
Mortgage Brokers help people get loans to buy homes. The course you are taking will help you to develop the skills and knowledge necessary to be effective in this role. You will learn about the different types of mortgage loans, the factors that affect mortgage rates, and the legal and ethical issues involved in mortgage lending.
Financial Analyst
Financial Analysts provide advice to individuals and businesses on financial matters. The course you are taking will help you to develop the skills and knowledge necessary to be effective in this role. You will learn about the different types of financial investments, the factors that affect investment performance, and how to use data to make sound investment decisions.
Actuary
Actuaries use mathematics to assess risk and uncertainty. The course you are taking will help you to develop the skills and knowledge necessary to be effective in this role. You will learn about the different types of actuarial models, the factors that affect actuarial risk, and how to use data to make sound actuarial decisions.
Data Scientist
Data Scientists use data to solve business problems. The course you are taking will help you to develop the skills and knowledge necessary to be effective in this role. You will learn about the different types of data analysis techniques, the factors that affect data quality, and how to use data to make sound business decisions.
Software Engineer
Software Engineers design, develop, and maintain software applications. The course you are taking will help you to develop the skills and knowledge necessary to be effective in this role. You will learn about the different types of software engineering tools and techniques, the factors that affect software quality, and how to use data to make sound software engineering decisions.
Computer Programmer
Computer Programmers write code to implement software applications. The course you are taking will help you to develop the skills and knowledge necessary to be effective in this role. You will learn about the different types of programming languages and tools, the factors that affect code quality, and how to use data to make sound programming decisions.
Information Technology Manager
Information Technology Managers plan and direct the implementation and operation of computer systems. The course you are taking will help you to develop the skills and knowledge necessary to be effective in this role. You will learn about the different types of information technology systems, the factors that affect system performance, and how to use data to make sound information technology decisions.
Business Analyst
Business Analysts analyze business processes and make recommendations for improvements. The course you are taking will help you to develop the skills and knowledge necessary to be effective in this role. You will learn about the different types of business analysis techniques, the factors that affect business performance, and how to use data to make sound business decisions.
Investment Banker
Investment Bankers help companies raise money by selling stocks and bonds. The course you are taking will help you to develop the skills and knowledge necessary to be effective in this role. You will learn about the different types of investment banking transactions, the factors that affect investment banking fees, and how to use data to make sound investment banking decisions.
Financial Planner
Financial Planners help people plan for their financial future. The course you are taking will help you to develop the skills and knowledge necessary to be effective in this role. You will learn about the different types of financial planning services, the factors that affect financial planning fees, and how to use data to make sound financial planning decisions.
Economist
Economists study the production, distribution, and consumption of goods and services. The course you are taking will help you to develop the skills and knowledge necessary to be effective in this role. You will learn about the different types of economic models, the factors that affect economic growth, and how to use data to make sound economic decisions.
Statistician
Statisticians collect, analyze, and interpret data. The course you are taking will help you to develop the skills and knowledge necessary to be effective in this role. You will learn about the different types of statistical methods, the factors that affect data quality, and how to use data to make sound statistical decisions.

Reading list

We've selected 13 books that we think will supplement your learning. Use these to develop background knowledge, enrich your coursework, and gain a deeper understanding of the topics covered in Application of AI, InsurTech, and Real Estate Technology.
Provides a comprehensive overview of the use of artificial intelligence in the finance industry. It covers topics such as machine learning, natural language processing, and deep learning.
Provides a comprehensive overview of the use of machine learning in the finance industry. It covers topics such as supervised learning, unsupervised learning, and deep learning.
Discusses the impact of rare and unexpected events, which can have a significant impact on businesses.

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