I major in MICT, so it is a mix between Computer Science and Business. I definitely used AI a bunch while studying, especially in the coding and programming courses. Most of the time when I face a problem while coding, I google my problem, but I get so many different answers to my problem and most of them wouldn’t work in my case. However, when I just give my code to ChatGPT and explain what my problem is, it doesn’t only tell me what the solution is, but it explains very well, and even if I don’t understand fully, I can always just ask it to be simpler when explaining. in terms of the business side of the major, it can do all types of statistics for business, and it can do accounting statements, obviously when given the required information. In terms of what it could do in the future, I feel like it could be better at coding in a more professional level, as I used it in beginner computer science courses. it terms of the business side, probably being able to give the best advice for important business decisions.

For this part I will be using ChatGPT to suggest ways AI will be used in the MICT field.

AI can significantly enhance the Management Information and Communication Technology (MICT) field. Here are some potential applications:

  1. Data-Driven Decision Making

AI can analyze large datasets, providing insights that help businesses make data-driven decisions. By automating data collection and analysis, AI models can predict trends, market shifts, and customer preferences.

  • Predictive analytics: AI can forecast market trends, enabling proactive business strategies.
  • Business intelligence tools: AI-powered platforms can generate real-time reports and data visualizations to aid managers in decision-making.
  1. Automated Business Processes

AI can automate repetitive and time-consuming tasks in areas like accounting, human resources, and supply chain management, improving efficiency and reducing errors.

  • Robotic Process Automation (RPA): AI systems can perform routine tasks such as invoice processing, payroll, and inventory management.
  • Smart contract management: AI can streamline contractual workflows by automatically verifying and executing contracts based on predefined conditions.
  1. Enhanced Customer Experience

AI-driven technologies can improve customer service and engagement through chatbots, personalized marketing, and recommendation systems.

  • Chatbots and virtual assistants: AI can handle customer inquiries, provide product information, and offer troubleshooting assistance 24/7.
  • Customer segmentation and targeting: Machine learning algorithms can identify customer segments and tailor marketing campaigns accordingly.
  1. Cybersecurity and Risk Management

In the MICT field, securing data is crucial. AI can enhance cybersecurity measures by detecting unusual patterns or vulnerabilities in systems.

  • Fraud detection: AI algorithms can identify suspicious transactions or activities in real-time, helping prevent fraud.
  • Threat detection: AI systems can analyze network traffic and detect malware or unauthorized access attempts early.
  1. Supply Chain Optimization

AI can revolutionize supply chain management by optimizing logistics, demand forecasting, and inventory control.

  • Demand prediction: AI can analyze historical data to predict product demand, ensuring the right inventory levels.
  • Logistics management: AI systems can optimize delivery routes, reduce fuel consumption, and improve delivery times.
  1. Human Resources and Talent Management

AI can assist in recruitment processes, employee engagement, and performance management.

  • AI recruitment tools: These tools can sift through resumes, assess candidates based on predefined criteria, and reduce hiring biases.
  • Employee performance tracking: AI can monitor and evaluate employee performance, offering suggestions for improvement and predicting attrition risks.
  1. AI-Enhanced Financial Management

AI can provide better financial management tools by analyzing trends, predicting market risks, and optimizing investment strategies.

  • Automated financial reporting: AI can generate real-time financial reports and predict future cash flows or investment returns.
  • Risk assessment: AI can assess financial risks by analyzing market data, offering more reliable investment strategies.
  1. Custom Software Development

AI can be integrated into business software development, improving performance and automating many parts of the development lifecycle.

  • AI-driven software testing: AI tools can automate testing, ensuring that software is free of bugs or vulnerabilities.
  • Development process automation: AI can assist in code generation, debugging, and software deployment.
  1. Digital Marketing Optimization

AI helps businesses create and optimize digital marketing strategies by automating ad placements, targeting, and content creation.

  • Programmatic advertising: AI algorithms can automate the buying of digital ad spaces to target the right audiences at the right times.
  • Content personalization: AI tools can tailor content for different user segments, maximizing engagement.
  1. AI-Driven Innovation

AI can help businesses stay competitive by identifying innovation opportunities, automating research and development processes, and offering novel solutions to industry-specific problems.

  • New product development: AI can analyze market gaps and consumer behavior to help businesses innovate new products or services.
  • Process innovation: AI can suggest process improvements that reduce costs or increase productivity.

 

Then I did a quick interview with Dr. Hazem, a computer science professor, about how AI can be used academically and professionally for computer science. He explained that AI was already deeply integrated into both academic and professional areas of computer science. He said AI would be used academically for researching, for example, optimizing algorithms and analyzing data, whereas in education AI could be used to provide personalized learning tools. Professionally, AI could help in software development through code generation, debugging, and cybersecurity. In the future, AI is more likely to be at the side of humans to do all the routine work. However, ethical concerns like bias and privacy will become increasingly important as AI continues to evolve.

 

Then I did the same but to my cousin, who also writes code for a living. He said that he uses AI to test his code and answer his questions about programming. He also mentioned that it reduces the effort required to code something, as it finds the issues in his code and fixes them. He then mentioned that AI has the potential to replace all human computer science jobs in the long run, as it will be able to understand the requirements and generate code, understand errors, test it, and improve it.

 

When I heard from both, ChatGPT and humans with experience, at first I expected them to say the basic AI uses that we all know a tool like ChatGPT is capable of. I never expected them to talk about how in the future, AI will replace many jobs and will be used to automate business processes. This is very scary when you think about it, as there are people who dedicated their lives to learn something and make a living out of it, but in the future AI will be able to do their job better, faster, and cheaper. This will ensure the loss of those people’s jobs, and the scariest part is that the day this will happen is going to be sooner than we expect, as AI is getting better and smarter extremely fast. However, this is great news for business owners who will be saving so much money as they won’t need much humans to work for them. But I also think that there are a bunch of jobs that AI won’t be able to fully replace such as creative jobs, surgeons, work that requires human hands like building or fixing, and a bunch of other jobs too. So the best thing to do right now is to learn about diverse subjects to have a backup plan when AI takes over.