What is Artificial Intelligence? Following Understanding and Examples

Are you aware that artificial intelligence technology or the cool term AI (Artificial Intelligence) is currently widely available and applied in various fields of life. You can even find AI in everyday life, like Google’s virtual assistant and Siri for example. Artificial intelligence is not new, but its development is always something that attracts attention.

In the development of AI, apart from its role in helping humans, it is also supported by the presence of many science fiction films related to AI. So that it will increase people’s interest in AI. You also need to know, AI is not always a virtual assistant like Jarvis in the Iron Man movie or always in the form of a robot. But AI is broader than that, AI can be applied in various ways by emphasizing machine intelligence that can respond like humans.

“Our intelligence is what makes us human, and AI is an extension of that quality.”

Yann LeCun

Currently, almost all computer equipment or modern technology has implemented artificial intelligence. As previously stated, you can feel AI when using a smartphone via Google’s virtual assistant or Siri. AI is predicted to continue to develop and get smarter and you can’t avoid it.

Get to Know More About Artificial Intelligence

Artificial Intelligence (AI) is a simulation of human intelligence that is modeled in a machine and programmed to think like humans. Meanwhile, according to Mc Leod and Schell, artificial intelligence is the activity of providing machines such as computers with the ability to display behaviors that are considered as intelligent as if these abilities were displayed by humans.

In other words, AI is a computer system that can do jobs that generally require human labor or human intelligence to complete the job.

AI itself is a technology that requires data to be used as knowledge, just like humans. AI needs experience and data so that its intelligence can be even better. Important points in the AI ​​process are learning, reasoning and self correction. AI needs to learn to enrich its knowledge. The AI ​​learning process is not always ordered by humans, but AI will learn by itself based on the AI ​​experience when used by humans.

The interesting thing about AI is that it is able to do self-correction or self-correct. If you’ve ever heard the AI ​​expression “If I never win, then at least I can’t lose” is a little scary too. AI is programmed for that to continue to learn and correct itself from the mistakes it has made.

If you are still confused about how AI works, let’s take an example, namely AlphaGo. When it was first developed, it was given 100 thousand Go match data to study. Then, AlphaGo will play Go together with himself and every time he loses he will improve the way he plays and this playing process will be repeated millions of times.

One of the advantages of AI compared to humans is that the AI ​​owned by AlphaGo is that humans can only play once at a time. Meanwhile, AI can simulate several matches at the same time. So that the learning process and experience can also be more than humans. This was proven when AlphaGo played with world champion Go in 2016 he could become the winner.

AI Robot Illustration

Broadly speaking, an artificial intelligence can do one of the following four factors.

  1. Acting humanly, a system that can act like humans.
  2. Thinking humanly, a system that can think like humans.
  3. Think rationally, a system that is able to think rationally.
  4. Act rationally, a system that is able to act rationally.

Examples of Artificial Intelligence

Artificial intelligence or AI has been widely applied in various fields such as industry, medical, education, business and even in everyday life. Here are some examples of the application of AI that you usually encounter in everyday life.

1. DeepFace Facebook

Face Recognition

One example of AI is the DeepFace technology which is owned by Facebook. This AI functions to recognize people’s faces in photo posts. With this technology, you no longer need to manually mark someone in the photo, because this AI will do it.

Maybe you are wondering, where does the AI ​​know that the person in the photo is you? You need to know that before AI can identify that the person in the photo is you, the AI ​​will be trained based on the data. The data is obtained when you tag people in previous photos and from the results of AI suggestions for people in the photos that you approve. After AI practices and has a lot of data, AI will be able to identify someone in the photo.

2. E-Commerce Recommendations

AI E-Commerce Illustration

AI E-Commerce

One of the concepts of implementing AI that you often encounter is product recommendations in e-commerce. Maybe you’ve shopped in e-commerce and when you shop there are products that are recommended for you. The product recommended is not from someone who predicts what you will buy? The recommended product is the result of the AI ​​process.

Then where does AI get the products that will be recommended? AI obtains data from yourself, for example when you search for products, purchase products and you have seen what products. This data will be processed from the AI ​​concept, namely data mining so that AI will recommend products that are right for you.

3. AWS AI Services

Explore AWS AI services

AWS pre-trained AI Services provide ready-made intelligence for your applications and workflows. AI Services easily integrate with your applications to address common use cases such as personalized recommendations, modernizing your contact center, improving safety and security, and increasing customer engagement. Because we use the same deep learning technology that powers Amazon.com and our ML Services, you get quality and accuracy from continuously-learning APIs. And best of all, AI Services on AWS don’t require machine learning experience.


The application of AI greatly influences the way we live, interact and enhance our experience and comfort. AI continues to evolve and there are many more AIs to come in the years to come. Surely a better AI with more improvements, development, and implementation.

“Artificial intelligence has the same relationship with intelligence as artificial flowers and flowers”

David Parnas

Artificial intelligence does not always have a negative connotation that will replace the role of humans. Although there are several jobs that could be replaced by AI, AI also brings new jobs or professions such as data scientists for example.

One thing is important, you don’t think too negatively about the abilities of AI. Instead you should be worried about the inability of the AI ​​now. Maybe you can’t learn a lot at once like AI, but you can work with AI. Maybe there is something that humans need to take hundreds of years to find, whereas with the collaboration between you and AI, it can be found in a matter of days.

Are you interested in learning to make your own artificial intelligence? You can learn through the broadest and deepest set of machine learning services and supporting cloud infrastructure, putting machine learning in the hands of every developer, data scientist and expert practitioner with AWS.

So what do you think? Will AI have a bad impact on humans or even have a positive impact that will change human civilization for the better. Write your answer in the comments column.