Degree

Master of Science in Computer Science

Faculty / School

Faculty of Computer Sciences (FCS)

Department

Department of Computer Science

Date of Submission

2020-12-15

Advisor

Dr. Tariq Mahmood, Professor, Faculty of Computer Science,Institute of Business Administration (IBA), Karachi

Project Type

MSCS Survey Report

Abstract

This research survey focuses on evaluating the state of Machine Learning in Enterprises in Pakistan in 2020. It highlights the Machine Learning use cases in Pakistan and the challenges in its adoption in business solutions. A survey was conducted in enterprises in Pakistan ranging from companies with well-developed machine learning lifecycles to those with little or no experience in machine learning. The results of this survey have been shared in this paper along with comparisons with earlier works in this field.

Notes

In this paper, results have been presented of a survey which was carried out with 300 enterprises of Pakistan in 2020. The questions asked in the survey focused on maturity level of enterprises in Machine Learning, adoption barriers to Machine Learning in these enterprises and use cases of Machine Learning in them. Information like budget allocation, human resource allocation and customer demand of Machine Learning in these enterprises was also collected to get a better understanding.

The results show that Machine Learning in Pakistan is still in its early stage of development. However, with the use cases and adoption barriers that have been identified by the enterprises in Pakistan and the growing number of Machine Learning developers being produced by Educational institutions, the authors believe that Machine Learning is going to grow significantly in Pakistan in forthcoming years. The authors also understand that the generalizability of these results is limited because the number of participants in this survey is small. Therefore, it is suggested that further surveys are conducted in forthcoming years to establish if there are any patterns in this state of Machine Learning.

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