What are neural networks?

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Imagine that you need to develop a program that will automatically recognize cats in photos. You can manually enter the commands "if there are ears, then it is a cat", "if there is a tail, then it is also a cat", and, let's say, the program will understand what a cat is and easily recognize where it sits and where it lies.

But even with a great desire, it is impossible to take into account all the nuances: you will come across a picture where a cat is dressed in a bunny costume, and your software will no longer cope with the task.

A neural network is a program that can learn based on the data loaded into it. There are no ready-made algorithms here, the AI ​​will write them itself during training. In the example described, it is necessary oman consumer email list to “feed” the neural network several thousand photos of cats, after which it will teach itself to recognize cats in any costume and decorations.

Why are they important for business?
Using neural networks increases the company's competitiveness. With their help, you can analyze large amounts of data, automate processes, forecast demand, optimize marketing activities and logistics.

In our experience, the following neural network capabilities are most useful for business.

Automate tasks
Neural networks help automate routine processes - order processing, inventory management, customer support. This improves the quality of the product and service, reduces business costs, increases the speed of task execution and, therefore, the competitiveness of companies.

For example, Google has built a neural network into the Gmail service. Now AI analyzes the contents of letters and determines which folder to place them in - "Main", "Social Networks" or "Advertising". As a result, the system reduces the amount of spam and helps users focus on more important tasks than sorting letters.