Artificial intelligence can be useful for all areas of business due to its potential. It can help influence decisions, improve indicators, and select more acceptable conditions for clients. By implementing neural networks in your business now, you are investing in its future, in the progressiveness of methods that are relevant now and that will subsequently bring you benefits.
Alexey Boyarkin
Dmitry Svistunov
Head of SEO and Development
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I have always been concerned fusion data package about the issue of moving to a fundamentally new level. So that the indicators would grow not by 2 or 3 times, but by several orders of magnitude. From a thousand visits to ten thousand or from ten thousand to a hundred thousand, if we are talking about a website, for example.
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Technical condition of the site.
SEO.
Collection of site semantics.
Creating useful content.
Working on conversion.
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Examples of successful implementation of artificial intelligence systems in Russian enterprises
A device that can quickly and efficiently analyze raw materials and make decisions in production
In order for production to work well, it is important to monitor quality at each stage. Polytechnic scientists from SPbPU and the company "Microsensor NT" have created a device that can monitor compliance with standards at each stage. In addition, it easily automates and adjusts the process. It is called a spectrometer.
First, it is trained, like all AI. This happens on software that can collect and store data. Certain databases with characteristics of materials used in production are already loaded into it. Moreover, an important feature here is the ability to adapt the spectrometer to the technological process at almost any enterprise. And this opens up huge opportunities for it, now it is possible to work without a large staff and a chemical laboratory.
Using these technologies will make it possible to increase the efficiency of many enterprises and, in addition, significantly reduce costs. If we take dairy products as an example, then if a sample is taken incorrectly, a huge batch can be disposed of, and this is a loss for the business. Thanks to AI, this can be avoided.