25 Apr Case 12.1: Allstate

1. How does Allstate use artificial intelligence and big data in its operations?

2. What was the goal of Allstate when it collected 11,000 terabytes of data from 1.2 million people every day?

3. Why did Allstate turn to the Colossus program and what were the issues they faced with it?

4. How did Allstate’s creation of Arity help them to gather more data and make more accurate claims?

5. How did machine learning help Allstate turn the company around after a major employee turnover?

6. How does Allstate use the data they collect to improve customer satisfaction and business outcomes?

7. What competitive advantages does Allstate gain from focusing on market segmentation and identifying fraudulent claims with AI and Insurtech? 

Requirements:

· There is no specific page requirement for your analysis. Instead, your work will be evaluated based on how thoroughly it addresses each of the questions that have been outlined for you.

· You must utilize proper APA formatting and citations throughout your paper. If you use any supporting evidence from external sources, it is imperative that you provide accurate citations for each reference.

· You must include a minimum of two sources from scholarly articles or business periodicals, aside from the course textbook. 

· Include your best critical thinking and analysis to arrive at your justification.    

· Please note that any use of AI text generation tools such as ChatGPT is strictly prohibited and will result in a grade of zero due to plagiarism.

Read “Case 13.1: Upstart” and write an essay that answers the following questions:

1. What is Upstart and how does it differ from traditional lenders in terms of determining creditworthiness?

2. How does Upstart’s use of AI technology increase the accuracy of risk assessments and lead to a higher approval rate for loans?

3. What concerns do consumers have about Upstart’s use of alternative data to determine creditworthiness, and how does the company address those concerns?

4. How has Upstart’s success with AI technology affected the finance sector, and what changes do you predict for the future of lending and credit?

5. How does the use of AI technology in the credit and mortgage industry impact young borrowers with less credit history? 

Requirements:

· There is no specific page requirement for your analysis. Instead, your work will be evaluated based on how thoroughly it addresses each of the questions that have been outlined for you.

· You must utilize proper APA formatting and citations throughout your paper. If you use any supporting evidence from external sources, it is imperative that you provide accurate citations for each reference.

· You must include a minimum of two sources from scholarly articles or business periodicals, aside from the course textbook. 

· Include your best critical thinking and analysis to arrive at your justification.    

· Please note that any use of AI text generation tools such as ChatGPT is strictly prohibited and will result in a grade of zero due to plagiarism.