| Subject Code: | TECH3200 | ||
| Subject Name: | Artificial Intelligence and Machine Learning in IT | ||
| Assessment Title: | The Machine Learning Solution for Business | ||
| Assessment Type: | Proposal | ||
| Word Count: | 1800 | Words | (+/-10%) |
| Weighting: | 40% | ||
| Total Marks: | 40 | ||
| Submission: | My KBS | ||
| Due Date: | Week13 | ||
Your third assessment requires you to analyze the supplied business case and understand the problem of the business so that you, as the subject matter expert in Machine Learning will write a solution proposal to highlight how your solution is suitable for supporting the business in several areas.
Proposal is a formal written offer from a seller to a prospective sponsor. In this assessment, it is a solution proposal that you will write to advocate your ML solution and to convince the Board of the business that your solution is the best. Apart from understanding the business requirements in the business case, you will also need to conduct research on AI/ML including their benefits to the industry where the business is in, how AI/ML is going to support the specified are as highlighted in the business case. You need to have a good understanding of ML algorithms and applications used in modeling e.g., prediction.
The learning out comes you will demonstrate in performing this assessment includes:
| LO1: | Evaluate artificial intelligence algorithms in information technology |
| LO2: | Analyze machine learning and common algorithms |
| LO4: | Create supervised and unsupervised machine learning algorithms |
Your Super Store is a market leader in grocery retail. It has over 2000 stores nation wide covering most of the major cities. It is becoming more and more important to fulfill people’s daily grocery needs. Due to the significant growth of the business. The old Loyalty Program that has over 3 million members, is no longer suitable to support the business. The board has decided to implement a new Loyalty Program (hint: it is like Everyday Rewards in Woolworths) to advance the business in various areas:
AI and Machine Learning are rapidly transforming many industries including grocery retail. Your Super Store’s competitors have quickly made the move to invest in trending AI technologies. To retain its market-leading position, the business would like to incorporate machine learning into the new Loyalty Program.
The CEO has appointed you as the subject matter expert in Machine learning knowing the algorithms and applications to work with the project team for the Loyalty Program.
Before project funding can be approved, you are required to write a solution proposal to outline:
Add your references (atleast5) on the last page using any professional and consistent styling.
| Criteria | F (Fail) 0–49% | P (Pass) 50–64% | C(Credit) 65 – 74% | D(Distinction) 75 – 84% | HD(High Distinction) 85 – 100% | Mark |
| Summary, objectives, and business problems | Poor or no executive summary, objectives written. Business problems are poorly or not identified and outlined, or they are not based on the provided business case | Reasonably ok executive summary, objectives written in an ok clear manner but with limited professional standard. Business problems are not fully identified and outlined based on the provided Business case | Good executive summary, objectives written in clear manner with well professional standard. Business problems are identified and outlined well based on the provided business case | Very good executive summary, objectives written in a fairly clear manner with very well professional standard. Business problems are fully identified and outlined clearly based on the provided business case | Excellent executive summary, objectives written in a very clear manner with excellently professional standard. Business problems are fully identified and outlined outstandingly based on the provided business case | /6 |
| Benefits of AI/ML | Poor or no identification and documentation of the benefits if AI/ML with no evidence of research with poor or no cited references. The benefits outlined are not relevant to the provided business case | Reasonably ok identification and documentation of the benefits if AI/ML with limited evidence of research with limited cited references. The benefits outlined are ok relevant to the provided business case | Good identification and documentation of the benefits if AI/ML with some evidence of research with cited references. The benefits outlined are quite relevant to the provided business case | Very good identification and documentation of the benefits if AI/ML with good evidence of research with cited references. The benefits outlined are relevant to the provided business case | Excellent identification and documentation of the benefits if AI/ML with strong evidence of research with clearly cited references. The benefits outlined are strongly relevant to the provided business case | /8 |
| ML solutions to the business | The solutions are poor but cover less than 3 areas required by the business case with poor or no analysis to support the solutions. Poor or no demonstration of applying ML algorithms, data manipulation and modeling techniques | The solutions are reasonably good but cover less than 6 are as required by the business case with limited analysis to support the solutions. limited demonstration of applying ML algorithms, data manipulation and modeling techniques with limited understanding of AI/ML | The solutions good to cover all 6 areas required by the business case with good analysis to support the solutions. Good demonstration of applying ML algorithms, data manipulation and modeling techniques with some Understanding of AI/ML | The solutions are very good to cover all 6areas required by the business case with very good analysis to support the solutions. Very good demonstration of applying ML algorithms, data manipulation and modeling techniques with strong understanding of AI/ML | The solutions are exceptionally good to cover all 6 areas required by the business case with outstanding analysis to support the solutions. Excellent demonstration of applying ML algorithms, data manipulation and modeling techniques with extremely strong understanding of AI/ML | /10 |
| Challenges, issues, and recommendations | The analysis of the challenges, ethical/security issues are poor or not relevant to the business case. Poor or no recommendations are provided | The analysis of the challenges, ethical/security issues are ok and relevant to the business case. Limited recommendations are provided for the business based on the challenges and issues identified | The analysis of the challenges, ethical/security issues are good and relevant to the business case. Good recommendations are provided for the business based on the challenges and issues identified | The analysis of the challenges, ethical/security issues are very good and relevant to the business case. Very good recommendations are provided for the business based on the challenges and issues identified | The analysis of the challenges, ethical/security issues are exceptionally good and highly relevant to the business case. Excellent recommendations are provided for the business based on the challenges and issues identified | /8 |
| Presentation and reference | Poor structure and clarity. Poor report format, No reference, major grammar, and spelling issues | Reasonable structure and headings. 2 references cited. Some grammatical or spelling issues | Good structure and presentation for the proposal, headings for different sections, 3 references cited. Reasonable grammar and | Very good structure and presentation for the proposal, headingsfordifferentsections,4 references cited. Grammar and spelling are very good | Excellent structure and presentation for the proposal, easy to follow, headings for different sections, 5 or more references cited. Excellent grammar and spelling | /8 |
| spelling | ||||||
Feedback and grades will be released via MyKBS | Total: /40 | |||||
https://www.kbs.edu.au/admissions/forms-and-policies
KBS values academic integrity. All students must understand the meaning and consequences of cheating, plagiarism and other academic offences under the Academic Integrity and Conduct Policy.
Please read the policy to learn the answers to these questions:
How can I appeal my grade?
https://www.kbs.edu.au/admissions/forms-and-policies
 |
Penalties may be applied for assessment submissions that exceed prescribed limits.
Students may seek study assistance from their local Academic Learning Advisor or refer to the resources on the MyKBS Academic Success Centrepage. Further details can be accessed at https://elearning.kbs.edu.au/course/view.php?id=1481
Please see the level of Generative AI that this assessment is Level 2 has been designed to accept:
Traffic Light | Amount of Generative Artificial Intelligence (Generative AI) usage |
Evidence Required | This assessment (✓) |
Level1 |
Prohibited: No Generative AI allowed This assessment showcases your individual knowledge, skills and/or personal experiences in the absence of Generative AI support. |
The use of generative AI is prohibited for this assessment and may potentially result in penalties for academic misconduct, including but not limited to a mark of zero for the assessment. | |
Level2 |
Optional: You may use Generative AI for research and content generation that is appropriately referenced.
See assessment instructions for details This assessment allows you to engage with Generative AI as a means of expanding your understanding, creativity, and idea generation in the research phase of your assessment and to produce content that enhances your assessment. I.e., images. You do not have to use it. |
The use of Gen AI is optional for this assessment.
Your collaboration with Generative AI must be clearly referenced just as you would reference any other resource type used. Click on the link below to learn how to reference Generative AI. https://library.kaplan.edu.au/referencing-other-sources/referencing-other-sources-generative-ai
In addition, you must include an appendix that documents your Generative AI collaboration including all prompts and responses used for the assessment.
Unapproved use of generative AI as per assessment details during the content generation parts of your assessment may potentially result in penalties for academic misconduct, including but not limited to a mark of zero for the assessment. Ensure you follow the specific assessment instructions in the section above. |
✓ |
Level3 |
Compulsory:
You must use Generative AI to complete your assessment
See assessment instruction for details This assessment fully integrates Generative AI, allowing you to harness the technology's full potential in collaboration with your own expertise.
Always check your assessment instructions carefully as there may still be limitations on what constitutes acceptable use, and these may be specific to each assessment. | You will be taught how to use generative AI and assessed on its use.
Your collaboration with Generative AI must be clearly referenced just as you would reference any other resource type used. Click on the link below to learn how to reference Generative AI.
https://library.kaplan.edu.au/referencing-other-sources/referencing-other-sources-generative-ai In addition, you must include an appendix that documents your Generative AI collaboration including all prompts and responses used for the assessment.
Unapproved use of generative AI as per assessment details during the content generation parts of your assessment may potentially result in penalties for academic misconduct, including but not limited to a mark of zero for the assessment. Ensure you follow the specific Assessment instructions in the section above. |
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