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AI in Business Essential Training

AI in Business Essential Training

1h 33mIntermediate2023-12-01

Authors

Michael McDonald

Michael McDonald

Researcher and Professor of Finance at Fairfield University

Course details

Artificial intelligence (AI) is changing the way we interact with our mobile devices, our healthcare providers, and even our cars. In this project-based course, Dr. Michael McDonald focuses specifically on the applications of AI in business, as well as emerging opportunities in the space. After discussing the basics of AI and how it works, Dr. McDonald focuses on how this exciting technology can be leveraged in a variety of business settings. Discover how AI can be applied to accurately price products, make astute marketing decisions, navigate financial markets, and more. Plus, learn where AI doesn't work in the business world and get best practices for applying AI in your work.

Learning objectives
What's AI and how does it work?
Optimization and AI
Using data to make optimized decisions
Building a basic AI algorithm
Opportunities for AI in marketing and product pricing
Where AI doesn't work

Skills covered

Microsoft ExcelArtificial Intelligence for BusinessEssential TrainingBusiness Analysis and StrategyMicrosoft

Concepts

0. Introduction

  • 01 - AI for business decisions

1. Artificial Intelligence (AI)

  • 02 - What is AI
  • 03 - How does AI work
  • 04 - Optimization and AI
  • 05 - What is optimization
  • 06 - Pattern and shape recognition and AI
  • 07 - Expert systems
  • 08 - Generative AI

2. Data Analytics and Optimization

  • 09 - Basics of data analytics
  • 10 - Regression analysis and forecasting
  • 11 - Using data to make an optimized decision
  • 12 - Taking data analytics to the next level - AI

3. Using AI in Business

  • 13 - Overview of uses of AI in business
  • 14 - Operational decision making and AI
  • 15 - Building a basic AI algorithm
  • 16 - AI in financial markets
  • 17 - AI in marketing
  • 18 - AI and product pricing
  • 19 - Human brakes on AI
  • 20 - Where AI does not work
  • 21 - Best practices with AI

Conclusion

  • 22 - Next steps

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