University of Pennsylvania
AI Applications in Marketing and Finance
University of Pennsylvania

AI Applications in Marketing and Finance

This course is part of AI For Business Specialization

Taught in English

Some content may not be translated

Michael R Roberts
Raghu Iyengar
Kartik Hosanagar

Instructors: Michael R Roberts

11,297 already enrolled

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Course

Gain insight into a topic and learn the fundamentals

4.7

(203 reviews)

6 hours (approximately)
Flexible schedule
Learn at your own pace

Details to know

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Assessments

4 quizzes

Course

Gain insight into a topic and learn the fundamentals

4.7

(203 reviews)

6 hours (approximately)
Flexible schedule
Learn at your own pace

See how employees at top companies are mastering in-demand skills

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Build your subject-matter expertise

This course is part of the AI For Business 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 will delve into the impact of AI in marketing, and how it affects how your customers interact with your organization and its offerings. You will learn about how AI is disrupting retail and transforming the way that we conduct business in the digital age. You will next discover the risks and challenges that you might encounter when trying to implement AI, such as privacy issues, and how to make the journey from interest to purchase a much shorter one. By the end of this module, you will have a firm understanding of how AI influences and also impact customer behavior, and how you can take advantage of the myriad of ways AI can be applied to support your business and align with your customers.

What's included

8 videos1 reading1 quiz

In this module, you will discover different ways that AI can be applied to enhance the consumer experience. You will take a deep dive into the realm of personalization algorithms, and how they are utilized in companies such as Pandora, Netflix, and Amazon. Next, you will learn about the challenges that you can face when trying to implement these algorithms or recommendation systems. You will also hear from Barkha Saxena, Chief Data Office for Poshmark, and how she takes data provided by their over 80 million users to create a curated experience, but still allow their customers to discover new products and engage with buyers. By the end of this module, you would have gained valuable insight into how AI can enable personalization and in turn drive customer engagement and retention.

What's included

4 videos1 reading1 quiz

In this module, you will learn how to mitigate fraud using AI systems. By examining various machine learning methods, you will discover different ways to analyze risk assessment using KPIs and the scientific method. You will then learn about corporate credit and the relationship between money borrowed, the price and availability of credit, as well corporate credit ratings and why and how that rating translates to risk. Lastly, you will learn about using models versus real-world data, and how you can use AI to conduct error analysis to prevent costly miscalculations. By the end of this module, you will have a firm knowledge of different risk assessment methods, how data can be used to analyze and predict credit ratings, as well as the benefits and limitations of different applications used in the industry.

What's included

13 videos1 reading1 quiz

In this module, you will hear from executives Carleigh Jaques, In this module, you will hear from executives Carleigh Jaques, SVP of CyberSource at Visa, and Apoorv Saxena, formerly the head of Google’s AI Verticals Team and was until recently the Global Head of AI at JPMorgan Chase. These interviews will allow you to get valuable insight into how major global brands utilize AI to create a secure shopping environment for their customers and clients, and how AI is instrumental in the data-driven world of finance. By the end of this module, you will have heard from top industry experts in their field and gained firsthand accounts of risk management and assessment and how AI is playing a more integral role in combating digital fraud.

What's included

4 videos1 quiz

Instructors

Instructor ratings
4.8 (52 ratings)
Michael R Roberts
University of Pennsylvania
4 Courses235,113 learners

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