RME101Q
ASSIGNMENT 2 (SEMESTER)
DUE DATE: August 2024
Written Assignment Submission Guidelines:
Please ensure that your assignment is submitted electronically through the myUnisa platform no
later than …August 2024. Kindly note that fax or email submissions will not be accepted.
NB: Assignment submitted to the lecturer(s) through email will not be considered.
QUESTION 1
1.1. Write the introduction and background of the proposed research study. (15)
ANSWER:
Proposed Research Topic:
"The Impact of Artificial Intelligence on Workforce Dynamics in the Financial Services Industry."
INTRODUCTION:
Artificial Intelligence (AI) is revolutionizing the financial services industry by automating complex
tasks, enhancing decision-making processes, and driving efficiency. As AI technologies such as
machine learning and robotic process automation become increasingly integrated into financial
operations, they are transforming traditional job roles and skill requirements. This technological
shift raises important questions about the future of work in the industry, including the potential for
job displacement, the creation of new opportunities, and the evolving demand for advanced skills.
Understanding the broader impact of AI on workforce dynamics is crucial for industry stakeholders,
as it will shape the strategies and policies needed to navigate this transformation effectively.
ASSIGNMENT 2 (SEMESTER)
DUE DATE: August 2024
Written Assignment Submission Guidelines:
Please ensure that your assignment is submitted electronically through the myUnisa platform no
later than …August 2024. Kindly note that fax or email submissions will not be accepted.
NB: Assignment submitted to the lecturer(s) through email will not be considered.
QUESTION 1
1.1. Write the introduction and background of the proposed research study. (15)
ANSWER:
Proposed Research Topic:
"The Impact of Artificial Intelligence on Workforce Dynamics in the Financial Services Industry."
INTRODUCTION:
Artificial Intelligence (AI) is revolutionizing the financial services industry by automating complex
tasks, enhancing decision-making processes, and driving efficiency. As AI technologies such as
machine learning and robotic process automation become increasingly integrated into financial
operations, they are transforming traditional job roles and skill requirements. This technological
shift raises important questions about the future of work in the industry, including the potential for
job displacement, the creation of new opportunities, and the evolving demand for advanced skills.
Understanding the broader impact of AI on workforce dynamics is crucial for industry stakeholders,
as it will shape the strategies and policies needed to navigate this transformation effectively.
