What is Artificial Intelligence? Advanced Artificial Intelligence Applications
What is Artificial Intelligence?
The type of intelligence that machines or computers exhibit by imitating human intelligence is called artificial intelligence. With this technology, machines can behave like a human, such as understanding language, learning, recognizing objects, responding, solving problems and making decisions. This software, which is not limited to just thinking, can drive a car or learn a job that factory workers do and start doing the same thing. Artificial intelligence, which is open to learning like humans, can improve its functions by learning new information. If it does the same job for a long time, it becomes more and more experienced in the relevant field.
The operations that machines or computers perform by imitating human intelligence are called artificial intelligence. This technology can imitate human behaviors such as understanding language, learning, recognizing objects, responding and solving problems.
This technology was indispensable for science fiction movies in the past. At that time, it was not even thought that such a powerful software would one day become a reality. However, today, with the development of technology and the production of hardware that can process very fast, this unique technology has also started to take its place in our lives. This technology, which is in every area of our lives and makes our lives much easier; It completes the articles we write, calculates the best route for us in navigation, and suggests series or movies to us by understanding our tastes.
Although it is used in many areas of our lives, many people do not know exactly what this advanced technology is and what it can do. Let’s take a look at what is behind this technology, artificial intelligence algorithms, and the importance of artificial intelligence in e-commerce.
Artificial intelligence, which is featured in old science fiction movies, is used in every area of our lives today. It completes our articles, calculates the best route, and makes movie recommendations.
What are the Types of Artificial Intelligence?
While artificial intelligence describes a general concept, this concept is divided into two types: weak and strong artificial intelligence. These two types of artificial intelligence are used in different areas according to their features.
Artificial intelligence types are divided into two as weak and strong artificial intelligence. While weak artificial intelligence has widespread uses such as smart assistants, strong artificial intelligence tries to imitate the complex structure of the human brain.
The name of weak artificial intelligence, also known as Artificial Narrow Intelligence (ANI) and DAR AI, may cause some confusion. Although this naming brings to mind the idea that it is an inadequate type of artificial intelligence, this is not exactly the case. Weak artificial intelligence is the most widely used type of artificial intelligence today. The smart assistants on our smartphones are the best example of this type.
Strong artificial intelligence, known as Artificial General Intelligence (AGI), is the most advanced type in this field. This technology, which better copies the intricate structure of the human brain, can solve problems without human intervention. Since there is no example of this type of artificial intelligence in practice, it is not possible to give an example from the real world yet. Apart from these types, there is also a completely experimental type of artificial intelligence software. Since it is thought that it is still a long time to reach this technology, it is not mentioned much among the types of artificial intelligence. Studies on ASI, which is superior to the human brain, continue at full speed. It is expected that this artificial intelligence, which has the potential to exceed human capacity, will play very important roles in our lives in the future.
What are the Learning Methods of Artificial Intelligence?
The learning methods of artificial intelligence are divided into two as deep learning and machine learning. Artificial intelligence learns and applies new information using these two methods.
Machine Learning
There are three different types of learning: supervised learning, unsupervised learning, and reward learning. While some types of learning require human input, others can complete the learning process without any human intervention. Artificial intelligence and machine learning allow software to be trained more easily and perform the desired operations.
Machine learning is the process of software learning using training information and data from humans. While supervised learning requires human input, unsupervised learning allows software to classify data.
Supervised Learning
This is the name given to software learning using training information and data from humans. There must be a human factor in this type of learning. People train the algorithm by labeling, and then adjustments are made to increase the accuracy of the algorithm.
Unsupervised Learning
If there is no information about the output, labeling is not possible. In such cases, unsupervised machine learning is preferred. Since the data cannot be classified by humans, the software takes over this task. Artificial intelligence takes unlabeled data and divides similar data into groups. For example, an e-commerce site can group users with similar shopping habits using an unsupervised learning algorithm.
Reinforcement Learning
The learning system that aims to maximize the reward received as a result of a job is called reward learning. In this learning system, the software is trained to always reach the highest reward. For example, a move is made during the game and a completely different move is tried in the next game. The software analyzes the difference between these two moves, detects which one achieves a higher score, and continues to improve itself accordingly.
Deep Learning
The most important difference of deep learning, which is basically similar to machine learning, is that learning is done with more data. In this form of learning, where people need to label less data, the software itself does the main work. The information in the complex network structure is processed by the software and new information is learned.
What are Artificial Intelligence Applications?
Artificial intelligence appears in many areas of our lives. Some of the areas where it is most commonly used are:
Artificial intelligence applications include technologies such as real-time recommendations, home robots, and image recognition. In e-commerce sites, artificial intelligence is used to increase sales with personalized recommendations and chatbots.
Real-Time Recommendations
E-commerce is one of the platforms where artificial intelligence is most frequently used. Real-time recommendations are frequently encountered on e-commerce sites. Real-time product recommendations are offered based on many different data such as users’ past purchases, weather conditions, time of day and location. It has been observed that these recommendations increase sales by 5 to 30 percent.
Home Robots
Home robots that calculate the best route to clean the floor, draw alternative routes when they see obstacles and can perform cleaning by area calculation are good examples of artificial intelligence applications. Home robots, which have entered most homes today, make our lives much easier.
Image Recognition
This technology, also known as machine vision or computer vision, has many different application areas. Software that can detect moving or stationary text, people or objects can classify this data. Fingerprint reading and image recognition features on smartphones are prominent examples of this technology.
How is Artificial Intelligence Used in E-Commerce?
Artificial intelligence, which has found an important application area in the field of marketing, plays an important role in increasing sales on e-commerce sites. E-commerce companies benefit from the power of this technology in many areas related to sales. The fact that quite large companies rely on artificial intelligence to decide which product to publish in which market reveals how important artificial intelligence is in the field of e-commerce.
Thanks to the recommendation system, product recommendations can be made according to the needs of customers on e-commerce sites. In e-commerce sites that are compatible with the voice command system, voice commands can be used to shop using assistant software such as Siri or Google Assistant. In addition, personalized e-mails can be sent with artificial intelligence technologies to attract the attention of users. Chatbot applications that can respond like a real customer representative are another advantage that this technology adds to e-commerce.
