Bloggers, content managers, webmasters can also use neural networks for business in their work. For example, to speed up and optimize the process of content formation and improve the quality of design. AI is able to study big data, analyze the needs of the target audience (TA). Based on this information, it adjusts the text and image for a specific user. Programs can make pictures unique and interesting.
The neural network also helps process photos. For example, the program can create a picture from scratch based on a voice description or create a video with a speaker. Unique images with competent meta tags attract additional traffic from the corresponding section in search engines.
For example, Logojoy can be used to create a logo for an organization or an online store. Google's AutoDraw automatically converts schematic sketches into understandable images. The Pantomime neural network can create animations based on photographs.
Pantomime neural network
AI Wordsmith can create loan data package up to 2,000 texts per second. This neural network is used in the field of rewriting and copywriting. It is actively used by Yandex and Yahoo. Domestic IT company Meanotek develops robot rewriters. If you order a text there, the result will be unique content at the level of an average author. Smart text generator is a neural network for business from Yandex. It is useful for webmasters who create doorways. The Atomic Reach neural network is able to optimize and edit texts, generate headings, descriptions for a website, email newsletters. This program is used by Accenture.
In email marketing
BrainMaker is a neural network for business that Microsoft uses to implement its email marketing strategy. Artificial intelligence has reduced costs by 35% when sending to a base of 8.5 million people. Moreover, the company receives the same income as before.
The neural network was loaded with data from users who received the newsletter. For example, the dates of the last orders, the number of products purchased, the number of days between the product appearing in the store and the purchase, as well as data on finances, the presence of children, interests, types of recreation, and so on. In addition, the program analyzed data on the number of employees in enterprises and their financial situation.
After that, the neural network assigned a rating to users and found that a certain segment of them from this rating responded to letters and bought goods more often. This allowed increasing the response rate from 4.9 to 8.2.
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Using neural networks in traffic arbitrage
They are used every time specialists launch campaigns on various platforms. Machine learning helps organizations optimize promotions, manage bids in advertising networks, and work with trackers. Many neural networks, which CPA networks and affiliates are equipped with, find low-quality traffic. In addition, they help fight fraud. Artificial intelligence is also used in gambling and poker tournaments.
Moderation
The ruDALL-E neural network is part of the Sberbank ecosystem. It can analyze images, generate images based on text descriptions, and improve quality. The platform is often used in traffic arbitrage to hide creatives from moderation. AI can retouch images so that neural networks moderating social networks do not find prohibited content.
Content generation
YaLM 100B is used by Yandex and helps develop product descriptions. The neural network does this based on 100 billion parameters. AI is also used to create unique content. For example, with the help of YaLM 100B, you can get a rewrite of the entire Wikipedia. Artificial intelligence is also used in Alice. It creates quick answers in the