How can AI and data analytics be used strategically in sports to manage athletic performance? Critically discuss with examples.

strategic asset used to help decision making in organisations with the aid of technology – spans between a number of topics that we covered during our lectures: descriptive/predictive analytics, machine learning techniques, deep learning/neural networks, recommendation engines etc.

Considering the above but not limited to these topics, choose a phenomenon of your interest and critically discuss the application of AI in a particular industry and/or function of your choice.

Example topics:
How can AI used in conjunction with customer data be applied strategically in the e- commerce industry? What are the opportunities and challenges in doing so? Critically discuss with examples.

How can AI on location data be applied in a sharing economy? What are the opportunities and challenges in doing so? Critically discuss with examples.
Privacy challenges of AI and data analytics in healthcare. Critically discuss with examples.

How can AI and data analytics be used strategically in sports to manage athletic performance? Critically discuss with examples.

Structure of a Short Essay:
Abstract
Introduction (introducing the case/topic, why it is important)
Literature review (previous related study)
Present concrete examples/cases to make a point
Critically discuss your argument and ideas around the topic you’ve chosen Conclusions (perhaps challenges/future directions for the topic…)
References

Key elements for your argument:
Analytical thinking and ability
The presentation and use of literature.
Critical ability (need to be critical to ideas presented…)
Originality in developing the arguments and presenting the ideas
Clarity, structure and style (well written, have flow, be consistent with the referencing etc.)

Format guidelines:
Font: Times New Roman
Font size: 12
Abstract: 150 words maximum
Length: 2000 words maximum excluding abstract and references
Citation style: Harvard referencing system

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