The IT industry is constantly evolving which causes roles within the industry to change. Choose
any two of the professions or roles from your course material and conduct additional research to
answer the following questions
Q.1.1 Write a paragraph of no more than 400 words where you provide an explanation
of your chosen roles AND how this role is likely to change in the future.
(15)
Q.1.2 The recent launch of ChatGPT has sparked debates about the future of traditional
job roles. Do you believe that any of the job roles you selected are likely to be
impacted by ChatGPT. Briefly state how you believe the role will be impacted.
(10)
Role 1: Data Scientist
A data scientist is a professional who wields expertise in analyzing complex data sets to uncover valuable insights and trends. They use various tools and techniques to extract meaningful information, create predictive models, and drive data-driven decision making. However, the role of a data scientist is expected to evolve in the future due to advancements in artificial intelligence (AI) and automation. With the emergence of machine learning algorithms and automated data analysis tools, data scientists may find some of their traditional tasks being overtaken by AI systems. Automation can assist in data cleaning, preprocessing, and predictive modeling, reducing the need for manual intervention. As a result, data scientists will need to focus more on high-level strategic thinking, problem-solving, and interpreting the results provided by AI systems. They may also need to acquire new skills in AI and machine learning to effectively collaborate with AI systems in their decision-making processes.
Role 2: Cybersecurity Analyst
A cybersecurity analyst is responsible for ensuring the security of an organization's computer systems, networks, and data. They identify, analyze, and mitigate potential security risks or breaches, develop security policies, and implement protective measures. As the IT industry continues to evolve, the role of a cybersecurity analyst is likely to undergo significant changes. The advancement of technologies such as AI and machine learning will also impact the cybersecurity landscape. AI-powered security systems will be capable of automatically detecting and responding to cyber threats in real-time. This may reduce the manual workload of cybersecurity analysts, allowing them to focus more on strategic planning, risk assessment, and incident response. However, cybersecurity analysts will still play a crucial role in overseeing and managing these AI systems, ensuring their accuracy, effectiveness, and aligning them with organizational objectives. They will need to continuously update their skills and knowledge to keep up with emerging threats and technologies.
Q.1.2:
Both the roles of the data scientist and cybersecurity analyst are likely to be impacted by ChatGPT. ChatGPT is an AI-powered language model that can generate human-like responses to text-based inputs. It has the potential to automate some of the tasks traditionally performed by data scientists and cybersecurity analysts that involve natural language processing. For data scientists, ChatGPT can assist in tasks like data preprocessing, generating insights from text data, and even creating basic predictive models. However, the role of data scientists will still be crucial in designing and fine-tuning the models created by ChatGPT, ensuring ethical considerations and interpreting the results provided.
Similarly, in the field of cybersecurity, ChatGPT can aid in automating certain tasks like analyzing log files, identifying patterns of potential cyber threats, or responding to basic security incidents. However, cybersecurity analysts will still be needed to oversee and manage ChatGPT's operations, assess the validity of the generated responses, and handle more complex and sophisticated security incidents. They will also be responsible for ensuring that AI systems like ChatGPT are secure and not vulnerable to malicious attacks or manipulations. Overall, ChatGPT has the potential to augment the capabilities of data scientists and cybersecurity analysts, but their roles will not be completely replaced.