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Posted: February 15th, 2022

BI5 essay

From book: Analytics, Data Science, Artificial Intelligence Systems for Decision Support (11th Edition)

Chapter 8:

1. How does prescriptive analytics relate to descriptive and predictive analytics?

2. Explain the differences between static and dynamic models. How can one evolve into the other?

3. What is the difference between an optimistic approach and a pessimistic approach to decision making under assumed uncertainty?

4. Explain why solving problems under uncertainty some- times involves assuming that the problem is to be solved under conditions of risk.

Exercise: 4

Investigate via a Web search how models and their solutions are used by the U.S. Department of Homeland Security in the “war against terrorism.” Also investigate how other governments or government agencies are using models in their missions.

Chapter 9:

1. What is Big Data? Why is it important? Where does Big Data come from?

2. What do you think the future of Big Data will be? Will it lose its popularity to something else? If so, what will it be?

3. What is Big Data analytics? How does it differ from regular analytics?

4. What are the critical success factors for Big Data analytics?

5. What are the big challenges that one should be mindful of when considering implementation of Big Data analytics?

Exercise: 3

At teradatauniversitynetwork.com, go to the Sports Analytics page. Find applications of Big Data in sports. Summarize your findings.

Need one page for question responses and one for exercise, total 3 pages with Help write my thesis – APA format in text and separate references without plagiarism and quality work in next 48 hours.

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Analytics, Data Science, and Artificial Intelligence Systems for Decision Support, from the book (11th Edition)

8th Chapter:

1. What is the relationship between prescriptive analytics and descriptive and predictive analytics?

2. Distinguish between static and dynamic models. How can one become the other?

3. What is the distinction between an optimistic and a pessimistic approach to decision making in the face of presumed uncertainty?

4. Explain why, in some cases, solving problems under uncertainty entails presuming that the problem is to be done under risky conditions.

4th exercise

Investigate how the U.S. Department of Homeland Security uses models and their solutions in the “war on terrorism” by conducting a Web search. Investigate how other governments or government agencies use models in their missions as well.

9th Chapter

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