Industry uses of artificial intelligence (Plus benefits)

By Indeed Editorial Team

Published 7 April 2022

The Indeed Editorial Team comprises a diverse and talented team of writers, researchers and subject matter experts equipped with Indeed's data and insights to deliver useful tips to help guide your career journey.

Over the years, artificial intelligence (AI) has become applicable in various fields, and its applications form part of our daily lives. AI can enable businesses to perform detail-oriented and repetitive tasks more accurately and can give companies detailed insights into their operations. Understanding how AI technologies apply to businesses can help you decide whether you want to pursue a career in artificial intelligence. In this article, we define AI, explore the uses of artificial intelligence in various sectors, explain how it works, discuss various types and list its advantages.

What is artificial intelligence?

Artificial intelligence (AI) is essentially a computer program that computer science professionals created and inputted into computers to mimic human thinking or behaviour. This type of intelligence can enable computers to solve problems and complete tasks typically completed by humans. AI may enable machines to perceive their environment, internalise what they see and solve problems or act towards a specific goal.

Uses of artificial intelligence

There are various uses of artificial intelligence in different fields. These fields include:

Gaming

Developers may use AI in video gaming to generate adaptive, responsive and intelligent behaviours in non-player characters similar to human-like traits. They can also integrate it into computer board games such as computer chess, computer checkers and computer shogi. Integration of artificial intelligence in gaming can enhance players' experience.

Related: How to become an artificial intelligence developer

Healthcare

The healthcare sector has significantly benefited from advances in AI technology. Artificial intelligence has many applications in the health sector. AI programs can help:

  • mine, analyse and present patient medical records to provide doctors with valuable information

  • provide patients with medical consultations and diagnoses, most times, without an in-person visit

  • assist healthcare workers with workflow and data management

  • help doctors differentiate between healthy anatomy and tumours

  • help in drug research, development and lowering costs

  • detect gaps in the healthcare sector

  • predict disease incidence and treatment

  • forecast health risks to specific populations

  • design treatment plans

  • assist blind people to perform their daily activities

  • predict the likelihood of death from surgical procedures

Related: What is an IT analyst? (Definition and responsibilities)

Robotics

Robots were the first automated machines known to man. Previously, scientists manufactured robots without integrating AI, but these robots only performed repetitive tasks. AI in robotics can enable robots to perform human-like tasks and detect objects. Today, developers can program robots using machine learning techniques. They may use an enormous set of data to train the robots to recognise specific objects and carry out tasks according to the instructions given. Among the various uses of artificial intelligence, robots can perform tasks that may be laborious for humans, such as:

  • carry goods in warehouses, hospitals and factories

  • manage inventory

  • clean large equipment and offices

Related: What are automated industries? (Plus examples and salary)

Agriculture

Precision agriculture, a farm management approach powered by AI, can help farmers grow their crops using fewer resources. Aspects of AI such as robotics, computer vision and machine learning programs can give farmers real-time insights into the condition of their farms. This may enable farmers to identify parts of their fields that need fertilisation, irrigation or pesticide treatment.

Human resources

There are various uses of artificial intelligence in the human resources field. These include:

Recruitment

During the recruitment stage, AI can streamline the application process for job applicants by creating user-friendly forms applicants are more likely to complete, subsequently minimising the number of abandoned applications. AI can also play a role in candidate rediscovery. By maintaining a database of past job applicants, businesses can use AI to analyse the existing pool of previous applicants and identify those that may be an excellent fit for new positions as they become available.

Related: Artificial intelligence in recruitment: types and benefits

Automation of tasks

HR professionals can also use artificial intelligence to automate low-value and repetitive tasks to give employees more time to contribute to the organisation's strategic planning. This way, the HR department can become a strategic partner within the company. AI programs can also automate processes such as pre-screening candidates, administering benefits and scheduling interviews.

E-commerce

Artificial intelligence has many uses in the e-commerce sector, including:

Virtual assistants and chatbots

Designed using AI, virtual assistants and chatbots can help improve the customer experience while shopping online. Developers may use natural language processing (NLP) to make the conversations with these chatbots and virtual assistants human and personal. NLP may also enable virtual assistants to interpret voice-centred interactions with customers. These assistants can have real-time conversations with customers, at whatever time. Virtual assistants can also provide customers with personalised offers.

Related: What is a digital assistant? (Uses, benefits and FAQ)

Product recommendations

AI technology can use customers' browsing history, interests, preferences and order history to create and send product recommendations. Sending product recommendations to customers can help brands improve their relationships with their customers and enhance brand loyalty. Product recommendations can also increase sales, offer customers a personalised shopping experience and form the foundation for personalised business email campaigns.

Fraud detection and prevention

AI can detect and prevent fraud on e-commerce sites. Artificial intelligence can analyse transactions to uncover false trends and subsequently detect fraud in real time. Once these AI systems detect fraud, they can then flag these fraudulent transactions for future investigation or reject them altogether.

Automotive

Advancements in artificial intelligence can help in the development of self-driving cars. Developers of self-driving cars may use large amounts of data to build machines that can drive autonomously. All a driver may have to do is enter the destination, and the car can calculate and navigate the route to the predetermined destination.

Related: 12 careers in AI (plus responsibilities and salaries)

How artificial intelligence works

Artificial intelligence systems may work by acquiring large amounts of data labelled as training data, analysing the patterns and correlations of the data and using these patterns in making predictions in the future. Scientists may base AI programming on three crucial skills:

  • Learning: You can use AI to acquire raw data and create rules on how to turn this data into meaningful information. These rules commonly referred to as algorithms may provide computers with step-by-step instructions on how to complete a particular task.

  • Reasoning: AI programming may focus on determining and choosing the right algorithm to get the desired outcome.

  • Self-correction: This part of AI may focus on continually fine-tuning algorithms to make sure they provide the most accurate results.

Related: 16 promising jobs for the future (with salaries and duties)

4 types of artificial intelligence

There are four main types of artificial intelligence, which include:

1. Reactive machines

This type of artificial intelligence may involve machines perceiving the world directly and acting solely on what they currently see, making it impossible to form real-time decisions. Since these machines may not know the past and can't learn, they can only function to the extent of their assigned tasks and may behave the same way every time they encounter the same situation. An example of a reactive machine is Deep Blue, a chess-playing supercomputer IBM designed in the 1990s.

2. Limited memory

These machines can store previous data and use it when making decisions and gathering information. Developers may create limited memory machines when they continuously train a machine on how to utilise and analyse any new data. An example of limited memory machines is self-driving cars.

3. Theory of mind

As the name suggests, these machines may be theoretical, as we haven't yet achieved the scientific and technological advances necessary to reach this level of artificial intelligence. Developers may base this concept of AI on the psychological understanding that living creatures have thoughts and emotions that affect their behaviour. In AI, this can translate to machines having the ability to comprehend how animals, humans and other machines feel and make decisions, and then they may utilise this information to make their own decisions.

4. Self-awareness

The last step of artificial intelligence development is to make the machines self-aware. This type of AI intelligence may understand its existence in the world and the presence and emotional state of others. These machines may also understand what others may need based on what they communicate and how they communicate it.

Related: An overview guide of tech trends in the upcoming decade

Advantages of artificial intelligence

Artificial intelligence technologies offer the following benefits:

  • Increases efficiency: AI technologies can enable humans to be more effective at their jobs. Businesses can leverage AI to perform tasks more efficiently and accurately.

  • Performs comprehensive data analysis: AI systems can collect, process and analyse these large amounts of data fast. They can find relevant information, establish trends, make decisions and offer business owners recommendations based on the data they've processed.

  • Lower human error: Compared to humans, AI systems can multitask and think faster than humans, giving the best results when tasks are repetitive. These systems may not experience fatigue and aren't vulnerable to making mistakes.

  • Improves workflow: AI technology can have various applications for improving human workflows. Technologies such as natural language processing and speech recognition can transform how people work in law enforcement, education and entertainment.

  • Enables informed decision-making: The ability of AI systems to perform comprehensive data analysis may enable more informed decisions that are likely to improve business operations and increase profitability. For example, classification models in machine learning can draw conclusions based on trends identified in historical training data.

  • 24/7 availability: Developers can program AI systems to operate for long hours and deliver the same quality results without errors. Digital assistants like chatbots can interact with customers at any time and provide them with quality and efficient customer support.

Please note that none of the companies mentioned in this article are affiliated with Indeed.

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