In this course, you will learn about AI-powered applications that can enhance the customer journey and extend the customer lifecycle. You will learn how this AI-powered data can enable you to analyze consumer habits and maximize their potential to target your marketing to the right people. You will also learn about fraud, credit risks, and how AI applications can also help you combat the ever-challenging landscape of protecting consumer data. You will also learn methods to utilize supervised and unsupervised machine learning to enhance your fraud detection methods. You will also hear from leading industry experts in the world of data analytics, marketing, and fraud prevention. By the end of this course, you will have a substantial understanding of the role AI and Machine Learning play when it comes to consumer habits, and how we are able to interact and analyze information to increase deep learning potential for your business.

AI Applications in Marketing and Finance

AI Applications in Marketing and Finance
This course is part of AI For Business Specialization



Instructors: Michael R Roberts
39,871 already enrolled
Skills you'll gain
- Customer Insights
- Big Data
- Digital Transformation
- Machine Learning Methods
- Credit Risk
- Risk Management
- Applied Machine Learning
- Artificial Intelligence and Machine Learning (AI/ML)
- Data-Driven Decision-Making
- Driving engagement
- Marketing Analytics
- Machine Learning
- Personalized Service
- Customer Engagement
- Financial Data
- Data-Driven Marketing
- Risk Modeling
- Risk Analysis
- AI Personalization
Tools you'll learn
Details to know

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Assessments
8 assignments
Taught in English
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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.
- Learn new concepts from industry experts
- Gain a foundational understanding of a subject or tool
- Develop job-relevant skills with hands-on projects
- Earn a shareable career certificate

There are 4 modules in this course
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Showing 3 of 503
PQ
Reviewed on Mar 18, 2024
Interesting but sometimes assumes the audience has more finance experience then they may actually have.
AA
Reviewed on Jun 7, 2023
Detailed and good examples made easy to understand, really enjoyed completing this course
RR
Reviewed on Aug 7, 2022
Great content and materials are easy to follow. The interviews with executives specialized in the matter enrich the content as well. Thanks so much!
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