The document discusses the application of machine learning in the banking sector, highlighting its importance in handling financial transactions and enhancing efficiency. It outlines primary use cases for major banks such as JPMorgan Chase, Bank of America, and Citibank in areas like fraud detection, customer support, and personalized marketing. Additionally, it lists various machine learning applications including risk modeling, customer segmentation, and recommendation engines.

1. Machine Learning In
Banking Sector
Presented By:
Girish Chandra Bharti
Knoldus Inc.

2. About Knoldus MachineX
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4. Agenda
01 Introduction of machine
learning
02 Banking Sector
03 Top Banks and their use
cases of machine learning
04 Top Use cases of ML in
banking sector
05 Quick demo for fraud
detection

5. Introduction of machine learning

6. Banking Sector
● Industry that handles cash, credit, and
other financial transactions.
● Provide a safe place to store extra cash and
credit.
● Offer savings accounts, certificates of deposit,
and checking accounts.
● Provide loans.
● One of the key drivers of the economy.
● Companies use loans to start hiring immediately to build for future demand
and expansion.

7. Types of Banks
=

8. The current status of ML in
banking sector?

9. Top 5 Banks and their use cases of ML
● Contract Intelligence or COiN (ML proprietary
algorithm)
JPMorgan Chase and their COiN:

10. Top 5 Banks and their use cases of ML
● Emerging Opportunities Engine
JPMorgan Chase and Emerging Opportunities Engine

11. Top 5 Banks and their use cases of ML
● Virtual chat assistant
JPMorgan Chase and Virtual chat assistant

12. Top 5 Banks and their use cases of ML
● AI Enterprise Solutions team
● AI-powered chatbot for the company’s Facebook
messenger
● This virtual assistant for resetting passwords
Wells Fargo and AI Enterprise Solutions team

13. Top 5 Banks and their use cases of ML
● Erica the virtual assistant
● AI assistant into their mobile banking solution
Bank of America

14. Top 5 Banks and their use cases of ML
● FeedzAI
Citibank

15. Top 5 Banks and their use cases of ML
● AI Innovation Leader
US-Bank

16. Use cases of ML in banking sector

17. Use cases of ML in banking sector
Fraud Detection

18. Use cases of ML in banking sector
Managing customer data

19. Use cases of ML in banking sector
Risk modeling for investment banks

20. Use cases of ML in banking sector
Personalized marketing

21. Use cases of ML in banking sector
Lifetime value prediction

22. Use cases of ML in banking sector
Real-time and predictive analytics

23. Use cases of ML in banking sector
Customer segmentation

24. Use cases of ML in banking sector
Recommendation engines

25. Use cases of ML in banking sector
Customer support

26. Demo of Fraud Detection

27. References
● https://techburst.io/5-use-cases-of-machine-learning-in-the-banking-industry-a4cfbedda722
● https://medium.com/activewizards-machine-learning-company/top-9-data-science-use-cases-in-banking-6bb071f9470c
● https://www.kaggle.com/currie32/predicting-fraud-with-tensorflow
●