Predicting credit risk analysis in the financial industry

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Reference no: EM133476108

Question: Explain how artificial intelligence and analytics have played a big role in predicting credit risk analysis in the financial industry and break up each into subsections:

Introduction paragraph:

Why you decided to research the financial services industry and how AI and analytics play a role in predicting credit risk analysis.
Industry overview:

Explain how quickly the industry adopted the use of Analytics and AI. Give reasons for the adoption speed and future trends for the use of analytics and AI.
Defining the Use Case:

Articulate the business problem that analytics and/AI is trying to solve for the industry. You will want to identify who is affected, why is it important, where is the problem occurring, and any other information deemed necessary in determining the business problem.
Solution Analysis

Find at least two available solutions for the Use Case. You may look at available commercial solutions OR explore how at least two companies in the industry have different solutions to the same business problem.
Ethics and Law

Examine if there are optional ethical issues with the solution or possible regulation.
Future Thinking

Explore how this solution may change the industry. Are jobs being replaced and new jobs being created? How will company and industry strategy change? Are new solutions on the horizon? Has this solution led to a new business problem to be solved with analytics or AI?
Conclusion

Summarizing the case and research
Back up information with research and scholarly sources with citations.

Reference no: EM133476108

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