Q1:

1.In 3-4 sentences, (in your own words, not copied from the article) describe how IBM presents AI.

2. In 3-4 sentences, (in your own words, not copied from the article) describe how Oracle presents AI.

3. What are the differences and similarities of each companies presentation of AI?

4. In your opinion, and why, which one do you think is the best presentation/introduction of AI?

Q2:

1. In 3-4 sentences describe how AI can be used as a tool for business, science, and engineering decision making.

2. How can AI help with data visualizations (3-4 sentences)

3. In your opinion, what are some downfalls or downsides of using AI in critical decision making, for example in medicine?

Q3:

1. Define the following terms. For each, use your own words. Describe each in the context of our textbook. (20 points)

• Artificial intelligence
• Business intelligence
• Predictive analytics
• Prescriptive analytics
• Machine Learning
• Deep Learning
• Natural Language Processing

1. What is meant by analytics? Give several examples of specific types of analytics. (5 points)
2. What is the relationship between statistics and business analytics? (5 points)
3. What is meant by data visualization? Give several examples of data visualization techniques.(5 points)
4. Define intelligent agents and list some of their capabilities. (5 points)
5. What is regression, and what statistical purpose does it serve? (5 points)
6. What are the commonalities and differences between regression and correlation? (5 points)
7. What does it mean to clean/scrub the data? What activities are performed in this phase?(5 points)
8. Go to https://catalog.data.gov/dataset?res_format=CSV Links to an external site.(30 points)Review the available datasets. Find one dataset of CSV data with a large number of entries. Include the csv with your submission. Open the CSV in Excel to review the data. Answer the following about your data. Hint: If there isn much data in the file, it will not be interesting to review.
   1. What is the topic of this data?
   2. What does each record represent?
   3. Give several questions that could be answered with this data. Be specific.
9. See Application Case 3.1 from the textbook. (15 points)¥rizon Answers the Call for Innovation: The NationàLargest Network Provider uses Advanced Analytics to Bring the Future to its Customersnswer the uestions for Case 3.1/l>
10. What was the challenge Verizon was facing?
11. What was the data-driven solution proposed for Verizonàbusiness units?
12. What were the results?