Artificial intelligence
Artificial intelligence, which previously existed only in science fiction films, is actively penetrating many areas of life. Technologies based on artificial intelligence are used to automate business; they affect the economy and labor market. In this article we will tell you how AI works and is used in business.
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| Artificial intelligence |
What is artificial intelligence
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| What is artificial intelligence |
Our brain works through the complex interaction of billions of neurons; artificial neural networks are created using this analogy. AI-based computer systems are capable of understanding and synthesizing speech, making decisions and acting. But artificial intelligence does not just execute given algorithms, but learns as information becomes available.
AI technologies are used in modern smartphones, in the design of smart homes, in medicine, education and various areas of business. But these technologies cannot fully replace humans: AI does not have the same multitasking capabilities that the human mind is capable of.
Another important difference between AI and natural intelligence is that human thinking is always associated with personality traits and emotions. Decisions and actions of computer networks do not have any emotional overtones and are based only on the results of information processing.
Types of AI
There are 4 main types of artificial intelligence:
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| Types of AI |
1.Weak AI
This is the main type of AI today. It is not able to accumulate and use experience, it is created for one task and cannot perform additional functions. An example of this type of artificial intelligence is the online fraud protection system Fraud Detector. The program instantly identifies suspicious user actions on the websites of banks and online stores.
Able to remember fragments of data and analyze the current situation based on them. The accumulated experience is not stored in memory and is not compiled with other information. An example of such AI is self-driving cars. It monitors the speed and direction of movement of other cars over a certain period of time in order to make a decision about changing lanes.
3. Strong AI
Such machines must capture people's thoughts and motives, and have social and emotional intelligence to interact with humans. But strong AIs do not yet exist in reality, only in movies, for example, in Star Wars. But there is already a similar version of them - virtual assistants Siri and Alice, who are taught human communication patterns.
The final stage in the development of artificial intelligence, which will be able to surpass humans in all aspects. The emergence of systems of this level will become possible when scientists fully study and model the system of functioning of the human mind.
How artificial intelligence works
To better understand the work of artificial intelligence, it is worth understanding its technologies:
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| How artificial intelligence works |
- Machine learning
The branch of AI science that deals with computers performing tasks independently. Machine learning systems are capable of processing large amounts of information, independently recognizing patterns and making predictions. They are used in areas where it is necessary to draw conclusions based on a huge amount of data: face, speech and object recognition.
- Deep learning
This is a type of machine learning for solving problems based on pre-prepared data. To do this, it is necessary to provide a large array of initial information and configure a huge number of parameters for its correct processing. Deep learning networks are used in search engines, to recognize handwritten text and images, and detect fraud and spam. The most popular deep learning method is artificial neural networks. They are very similar to the principle of the brain: they process incoming signals and convert them into data to solve assigned problems.
- Synthesized speech
The ability of a computer to understand and generate human speech is used to create virtual assistants (Google Assistant, Alice, Siri), business automation (telephony, analytics systems), and in medicine (data entry into electronic patient records).
AI is becoming increasingly widespread in various areas of business. Computer vision and facial recognition systems help companies solve several problems at once. For example, smart video surveillance can detect attempted thefts and reduce losses from theft of goods by customers.
Speech recognition technology enables the development of digital products for marketers. For example, chat bots, voice assistants, spam filters and systems for working with customer requests and reviews. Speech recognition systems save operators time on processing standard requests and help improve service. For example, speech analytics MANGO OFFICE monitors compliance with conversation scripts, identifies the most frequent customer requests, and tracks mentions of competitors.
Let's look at an example of how the Dodo Pizza company transferred frequent questions in the contact center to a robot and saved budget. The system, based on artificial intelligence, determined the purpose of the client’s request, sent non-standard questions to operators, and answered standard questions independently. The company managed to automate 250,000 calls and save 500,000 per month on operator salaries.
Another direction of AI in business is unmanned vehicles. Yandex is testing robot couriers that are relevant in modern realities in one of the districts of Moscow. Autonomous special equipment for off-road driving or inside any closed systems (factory, park, airport) may soon appear.
Artificial Intelligence Technology Market
In 2020, the revenue of Russian companies using AI technologies amounted to 291 billion rubles. This is data from 480 organizations, and the leaders among them are Yandex, Kaspersky Lab and Jet Infosystems JSC. The Ministry of Digital Development, Communications and Mass Communications predicts the Russian AI market will grow 80 times by 2024.
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| Artificial Intelligence Technology Market |
This rate of technology development will inevitably affect the labor market. A large number of routine tasks will be taken over by computers, which will lead to job cuts. On the other hand, there will be a need for professionals in the field of artificial intelligence: machine learning specialists, system operators, automation architects, authors of texts for interfaces and bots, and lawyers in the field of intellectual property law.
AI problems
Despite the rapid pace of technology growth, a number of problems arise associated with the development of artificial intelligence:
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| AI problems |
- The essence of artificial intelligence is working with huge amounts of data. If the source information contains inaccuracies or errors, this will affect the final result.
- AI programs are highly specialized and are not currently capable of multitasking like humans.
- The operation of smart systems requires serious financial resources. Only highly qualified specialists can service and configure them; the equipment also costs a lot.
Conclusion
Artificial intelligence is being actively implemented by large companies, and it will capture more and more new areas. This will manifest itself in process automation, budget optimization and will bring the service to a higher quality level. AI technologies are not only expensive systems for corporations; there are solutions for small and medium-sized businesses. For example, programs for marketing and market analysis.
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