Portfolio Project.

Make a Proposal for AI Implementation

For your Portfolio Project, you are a consultant for a prestigious firm. Your client is a growing insurance company looking to understand more about incorporating artificial intelligence into the business to help them provide better service and reduce overall costs.

Compose a proposal that analyzes whether this is a worthwhile investment for the company to make. Design this proposal to submit to your client's CEO and CIO.

You may need to make some assumptions regarding cost and leadership roles, but make them realistic. Think about the problem and how you propose solving it. Keep in mind AI is very new to this organization, so explain what AI is and what they gain to benefit from using it. Also, think about any risks they may face and address them by providing solutions to build trust in your ability to deliver. You should think through what type of data you will need to collect, and what you plan to do with it. Feel free to provide examples and diagrams which connect the concepts to their problems. Provide information on what it would take to scale AI across the organization. Identify what groups within the company, or processes within the business, could benefit from it the most.

Project Outline

Review the Portfolio Project.Make a detailed outline of your final deliverable, which describes how you plan to structure your Portfolio Project.

Include at least three scholarly references

Module 3

Criteria

Ratings

Pts

This criterion is linked to a Learning OutcomeRequirements

15 to >12.0 pts Meets Expectation Includes all of the required components, as specified in the assignment.

12 to >9.0 pts Approaches Expectation Includes most of the required components, as specified in the assignment.

9 to >6.0 pts Below Expectation Includes some of the required components, as specified in the assignment.

6 to >0 pts Limited Evidence Includes few of the required components, as specified in the assignment.

15 pts

This criterion is linked to a Learning OutcomeContent

20 to >16.0 pts Meets Expectation Demonstrates strong or adequate knowledge of the materials; correctly represents knowledge from the readings and sources.

16 to >12.0 pts Approaches Expectation Some significant but not major errors or omissions in demonstration of knowledge.

12 to >8.0 pts Below Expectation Major errors or omissions in demonstration of knowledge.

8 to >0 pts Limited Evidence Fails to demonstrate knowledge of the materials.

20 pts

This criterion is linked to a Learning OutcomeSources / Examples

10 to >8.0 pts Meets Expectation Sources or examples meet required criteria and are well chosen to provide substance and perspectives on the issue under examination.

8 to >6.0 pts Approaches Expectation Sources or examples meet required criteria but are lessthan adequately chosen to provide substance and perspectives on the issue under examination.

6 to >4.0 pts Below Expectation Sources or examples meet required criteria and are poorly chosen to provide substance and perspectives on the issue under examination.

4 to >0 pts Limited Evidence Source or example selection and integration of knowledge from the course is clearly deficient.

10 pts