What AI and ML Really Mean in Fintech

Improve your business economics and increase your competitive advantage

 

Data volume is only expected to increase ...

Machine Learning and Artificial Intelligence are becoming mandatory in the wide range of FinServ and FinTech Companies

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We'll Cover:

  • Basic concepts related to Data Science, Machine Learning and Artificial Intelligence
  • History of Machine Learning and AI in Financial Services and FinTech
  • Closer look at several ML and AI financial services use cases (B2B and B2C)
  • Future trends and its potential impact to the financial services industry - including job displacement and new career options
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Author Bio

Greg LaBlanc has been teaching at the Haas School of Business and Berkeley Law since 2005. He teaches primarily in the areas of finance and strategy in the MBA and MFE programs and in Executive Education. He has also worked in competitive intelligence and litigation consulting and has advised consulting teams in finance, marketing, and strategy. His research interests lie at the intersection of law, finance, and psychology, in the area of business strategy and risk management.

What's Included In The Course...

MODULE 1

AI & Machine Learning

  • Predictions vs Actual results
  • Inputs and Outputs of AI
  • AI applications in Insurance and Investment Management
MODULE 2

AI & Blockchain

  • Types of UCC Liens
  • Title Insurance
  • Impact on Supply Chain
  • Shared Ledgers
  • Financial Services Innovation

 

MODULE 3

AI & Payments

  • The 6 Clusters of Financial Services Innovation
  • How Banks make money
  • Banking, Cards and Compliance
  • AI and Data Scientists

 

 

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