5K7V0024 AI And Machine Learning Business Application Assignment – UK.

Unit Code : 5K7V0024
Unit Title : AI and Machine Learning: Business Application
Assignment Title : Identification of use cases for machine learning and use of appropriate machine learning techniques
Individual Assignment Task: Individual written report based on a case study requiring initial analysis of potential applications of machine learning in a business scenario.
5K7V0024 AI And Machine Learning Business Application Assignment – UK.

5K7V0024 AI And Machine Learning Business Application Assignment

Unit Learning Outcomes Assessed :
On successful completion of this unit students will be able to:
1.Explain what AI is, distinguishing between the main categories of machine learning, and giving examples of practical applications in each category.
2.Implement a simple classification machine learning algorithm
3.Evaluate the possible benefits of potential machine learning approaches to solving a range of business problems, considering risk and ethics.

Early Career Professional Skills Developed:
This assignment will help further develop your critical analysis and critical thinking skills in terms of practical decision making as well as enhancing your written communication skills essential for employ ability and life-long learning. It will also enhance your knowledge relating to the application of cutting-edge innovations in business practice.

Assignment Details and Instructions :
Overview : Students must select a ‘real world’ business organisation as a case study on which to focus their report for this assessment. It is entirely up to the student as to which organisation they choose. They must then consider potential use cases for implementation of machine learning in that business context.

5K7V0024 AI And Machine Learning Business Application Assignment – UK.

5K7V0024 AI And Machine Learning Business Application Assignment

Assignment Brief:
This is an Individual Assignment which requires students to produce an individual written report based on a self-selected case study. The report aims to develop a business case for a chosen opportunity to use machine learning within the organisation to improve business performance.

In your role as a Business Consultant you have been employed by the organisation to advise them on opportunities for a first project attempting to utilise machine learning in the business as a ‘proof of concept’ for greater future investment in this area. You should select an appropriate real world organisation that this situation may be applicable to as context for your report (your case study).

You will prepare a maximum 3,000 words report for the organisation on the following areas :
• Explore possible applications of machine learning in the organisation and build a business case for one of these use cases after considering and ranking the possibilities on a range of criteria such as complexity, cost of implementation, availability of expertise, risks and business benefits.
• Suggest which type or class of machine learning algorithm may be most appropriate within the business case
• Developing an outline of the key data sources and data elements needed in order for the machine learning algorithm to work successfully
• Developing an appropriate machine learning algorithm on the organisation’s data to implement the business decision-making OR outline conceptually how the algorithm would work
• Exploring the HR, ethical and legal considerations that may also be relevant when considering application of machine learning for the use case and organisation chosen.

5K7V0024 AI And Machine Learning Business Application Assignment – UK.

5K7V0024 AI And Machine Learning Business Application Assignment

Further details:
• This is a report with a word count of 3,000 (excluding any appendices and references).
• Use headings and subheadings to structure your report.
• Use charts, graphs, images, tables etc. as appropriate.
• MMU standard Harvard referencing is essential (A PDF copy can be found here ).
• Be aware of the Marking Criteria and Rubric below

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