Paper instructions:Question:


a)    What can you draw from the academic and industry literature that offers ways of affecting change in construction with the use of Machine Learning on increasing construction productivity?

b)    From this review, what would you recommend is done with Machine Learning at the construction firm to improve better managing its workforce? Consider the geographic focus and limits of your answer (your recommendations only apply to UK)

c)    Provide reflective conclusions on the key learning you have obtained from answering this brief and identify no more than three recommendations for scholars to research and practitioners to consider implementing.

Requirement:
Introduction: (half page to one page)

Analysis: Logical and appropriate analytical structure used to develop a coherent and to some degree original/independent argument. Argument grounded in observations of specific industry conditions. In addition, the paper shows ability to understand and solve problems, and work with and connect both theoretical and empirical content.

Conclusion: the last part of the essay will be for you to reflect on the major learning that has been achieved in the way, do not repeat what you have said in the previous paragraph (half page to one page).

Reference: 30 reference required(I have uploaded 20). You should use Harvard referencing and base your reasoning on peer-reviewed literature in academic journals and books (such as Academic Journals: Nature and Science, science.gov, research gate)

Tips: ML is a subset of AI, but they are not the same thing. ML has a much smaller scope and the focus of this paper is ML. However, this paper is not going to be too technical on ML. The main job is critical analysis and construction management.

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