Artificial Intelligence Vs Information technology: A student Guide

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  • 1 May 2023
artificial intelligence vs information technology

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Artificial Intelligence (AI) and Information Technology (IT) are two distinct but closely related fields in the realm of computer science. Both play a critical role in shaping the future of technology and its impact on society.

While AI vs IT have some overlap in terms of the use of computer technology, AI is focused on creating intelligent systems that can operate autonomously and make decisions, while IT is concerned with the infrastructure and systems needed to manage and process data.

Ultimately, both AI and IT are important fields of study for students who are interested in technology and its impact on society. To gain a broad range of technical skills and knowledge one can pursue a BCA Degree in computer science. This will help you get aware of the top new technological trends and other advancements in the field. 

What is Information Technology?

Information Technology (IT) refers to the use of computer technology to store, retrieve, transmit, and manipulate data, often in the context of a business or organisational operations. IT includes a wide range of technologies such as computer hardware, software, networking, and telecommunications.

Information Technology has become a fundamental aspect of modern society and business, with applications in nearly every industry and sector. Some common areas of IT application include-

  • Business operations and management
  • E-commerce and online transactions
  • Communications and Collaboration
  • Data storage, management, and analysis
  • Cybersecurity and network protection
  • Software development and programming
  • Cloud computing and virtualisation

What is Artificial Intelligence?

Artificial Intelligence (AI) refers to the development of computer systems and algorithms that can perform tasks that would typically require human intelligence, such as reasoning, learning, perception, and problem-solving. AI is based on the idea of creating machines that can think and act like humans, with the ultimate goal of improving efficiency and productivity across a wide range of industries.

AI has many applications across various fields, including-

  • Healthcare: AI can help doctors diagnose and treat patients more accurately and efficiently.
  • Finance: AI can help financial institutions manage risk and detect fraud.
  • Transportation: AI can help improve traffic flow and safety on roads and in airports.
  • Manufacturing: AI can help optimise production processes and reduce waste.
  • Customer service: AI can help automate customer support and improve response times.

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Differences between AI and IT 

AI and IT are two distinct but interrelated fields within computer science. Check out the table to know AI vs IT.

Basis of Difference

Artificial Intelligence

Information Technology


AI deals with the development of intelligent machines that can perform tasks that require human-like intelligence.

IT deals with the use of technology to manage and process information.


The focus of AI is on developing intelligent systems that can analyse data and make decisions, often in real time.

The focus of IT is on creating and maintaining technology that is reliable, secure, and efficient.


The goal of AI is to create machines that can perform tasks that typically require human intelligence, such as reasoning, learning, perception, and problem-solving, with the ultimate goal of improving efficiency, productivity, and decision-making.

The goal of IT is to support business or organisational objectives by creating and maintaining reliable and efficient technology. 

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Career Opportunities in AI vs IT

Both AI and IT offer promising career opportunities. Here are some examples of career paths in each field:

AI Career Opportunities

  • Machine learning engineer: responsible for designing, building, and deploying machine learning models and algorithms.
  • Data scientist: responsible for analyzing and interpreting complex data sets using statistical and machine learning techniques.
  • Natural language processing (NLP) engineer: responsible for developing algorithms and models that can understand and generate human language.
  • Robotics engineer: responsible for designing, building, and programming robots that can interact with the environment and perform tasks.
  • AI research scientist: responsible for conducting research on AI and developing new algorithms and models.

IT Career Opportunities

  • Network administrator: responsible for maintaining and optimizing computer networks, ensuring their reliability and security.
  • Systems administrator: responsible for managing and maintaining computer systems, including servers, databases, and applications.
  • Cybersecurity analyst: responsible for protecting computer systems and networks from cyber threats, such as viruses, hackers, and malware.
  • Software engineer: responsible for designing, building, and testing software applications and systems.
  • Database administrator: responsible for designing, building, and maintaining databases, ensuring their accuracy, security, and efficiency.

In both fields, there are also opportunities for management and leadership roles, such as project managers and technical directors. Overall, both AI and IT offer exciting and rewarding career opportunities, and individuals can choose a career path that aligns with their interests and strengths.

Education and Training Requirements

To get started with a career in Artificial Intelligence or Information Technology you have to complete a Bachelor’s Degree in Computer Science such as a BCA Degree or B.Tech Program. 
You can later on pursue a master’s degree as well to gain advanced knowledge and higher job positions. 

Overview of the skills and knowledge needed for success in these fields

Both AI and IT require a strong foundation in computer science, programming, and data analysis. However, there are some specific skills and knowledge areas that are particularly important in each field:


  • Knowledge of machine learning algorithms and frameworks, such as TensorFlow and PyTorch
  • Understanding of data preprocessing and feature engineering techniques
  • Familiarity with natural language processing and computer vision
  • Strong mathematical and statistical skills
  • Familiarity with programming languages such as Python and R


  • Knowledge of computer networks and network security
  • Understanding of operating systems and databases
  • Familiarity with programming languages such as Java and C++
  • Strong problem-solving skills
  • Ability to work with a team and communicate technical information clearly

In both fields, Ai vs IT, it is important to stay up-to-date with the latest technologies and advancements by continuing education and training throughout one's career.

Challenges and Ethical Considerations

AI and IT are rapidly advancing fields that are transforming society and the workplace. However, there are also significant challenges and ethical considerations that need to be addressed. Some of the key challenges and ethical considerations include-

  • Bias and fairness: AI systems can perpetuate bias if they are trained on biased data. This can lead to unfair outcomes, such as discriminatory hiring practices or biased lending decisions.
  • Privacy and security: As AI and IT systems collect more data about individuals, there are concerns about how that data is being used and protected. There is a risk of data breaches, and individuals may be uncomfortable with how their data is being used.
  • Job displacement: AI and IT systems are automating many tasks that were previously done by humans. This is leading to job displacement and the need for workers to develop new skills.
  • Accountability and transparency: As AI and IT systems become more complex, it can be difficult to understand how they are making decisions. This can lead to a lack of accountability and transparency, which is a concern for both individuals and organisations.

Overview of potential ethical concerns and how they are being addressed

  • To address bias in AI systems, researchers are developing methods for detecting and mitigating bias in data and algorithms. Policymakers are also developing regulations to promote fairness and prevent discrimination.
  • To address concerns about privacy and security, organisations are implementing data protection measures, such as encryption and access controls. Policymakers are also developing regulations to protect individuals' privacy rights.
  • To address concerns about job displacement, policymakers and organisations are developing programs to retrain workers and help them acquire new skills.
  • To promote accountability and transparency, organisations are developing methods for explaining how AI systems make decisions. Policymakers are also developing regulations to ensure that organizations are accountable for the decisions made by their AI systems.


In this blog, we have discussed the definitions, scope, and differences between AI and IT. We have also explored the various career opportunities in both fields, as well as the education and training requirements for success. If you are interested in this field of study, Sunstone can help you do so and gain guaranteed placements after your graduation. It is important to engage in projects and courses that can help build your technical skills, Sunstone’s capstone projects are the ones that you can utilise well. Our expert guides can help you gain a better understanding of career prospects in this field of study. Contact us to learn more. 

FAQ- Artificial Intelligence Vs Information Technology

What is the difference between AI and IT?

AI and IT are two distinct fields. AI is focused on developing machines that can simulate human intelligence, while IT is focused on the development and management of computer systems and networks.

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  • Learn from expert faculties passed out from IIM and IIT.

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