Other useful neural networks for arbitrage
Posted: Sun Jan 19, 2025 5:54 am
Let's list the neural networks that simplify traffic arbitrage:
Traffink. AI analyzes the IP used for flooding and determines whether it needs to be replaced.
Segmentstream . AI analyzes an advertising campaign, identifies strengths and weaknesses, and generates recommendations. As a result, an organization can increase profitability and get more traffic.
Segmentstream
Uizard.io helps develop loan data package landing pages, generates code from a website prototype.
Clarifai identifies objects in a photograph.
Magic Eraser removes unnecessary elements from pictures.
TheInPaint removes watermarks.
Generated Photos creates faces of non-existent people. The neural network is used in the process of developing account avatars, documents for passing the ban on advertising activities in prohibited social networks.
Ostagram generates creatives from a number of images. AI also helps pass moderation using various illusions and special effects.
Read also!
"Sample proposal for cooperation: just follow the instructions!"
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7 Simple Examples of Using Neural Networks in Business
Let's look at some of the commercial areas where they are used:
Finance. AI is used to predict market trends and economic changes. In addition, neural networks are actively used to analyze credit risk, identify potential fraudsters, and manage investment portfolios.
Banks. Neural networks audit loan applications. The program analyzes various parameters collected from the social networks of a potential borrower and makes a decision. A person's activity on the Internet can affect the likelihood of mortgage approval. Previously, banks needed tens of hours to review one application. Neural networks allow this to be done in a matter of seconds.
Healthcare. AI analyzes medical data and makes predictions about what treatment will be optimal in a particular case. In addition, neural networks are actively used to monitor patients' health and prevent diseases.
Pharmaceutical organizations. The company compresses the chemical composition of drugs whose medicinal properties have already been identified into a “spectrum.” This information is then processed by a neural network. A week later, the AI creates a description of molecules that can be used for new drugs. Previously, this process took a very long time.
Manufacturing. Artificial intelligence is used to optimize industrial processes and quality control. In addition, neural networks for business allow predicting when equipment will need to be serviced and repaired.
Recruitment agencies. The behavior of office and production employees is Big Data for a neural network. Artificial intelligence is often informed about movements around the open space, smoke breaks, absences, overtime, early fulfillment of KPIs even better than the staff itself.
examples of using neural networks in business
Various data sources help with this. For example, video surveillance, access control systems, information from work computers. The information is very quickly combined and processed by the program. Neural networks are used in the HR departments of Vodafone, Intel, Nike. They predict the departure of an employee. For example, in transnational companies, HR employees begin to look for candidates even before the resignation letter is submitted.
Online cinemas and video services. The neural network calculates the scenes of the video and compresses them without losing quality. This allows users to watch content without any pauses even with a slow Internet connection. Thanks to AI, many video services and online cinemas were able to enter the markets of countries that do not have a fast Internet connection. In addition, neural networks help to form recommendations based on the videos watched. Moreover, AI can create a personalized offer for the user based on information about people with similar behavior.
Traffink. AI analyzes the IP used for flooding and determines whether it needs to be replaced.
Segmentstream . AI analyzes an advertising campaign, identifies strengths and weaknesses, and generates recommendations. As a result, an organization can increase profitability and get more traffic.
Segmentstream
Uizard.io helps develop loan data package landing pages, generates code from a website prototype.
Clarifai identifies objects in a photograph.
Magic Eraser removes unnecessary elements from pictures.
TheInPaint removes watermarks.
Generated Photos creates faces of non-existent people. The neural network is used in the process of developing account avatars, documents for passing the ban on advertising activities in prohibited social networks.
Ostagram generates creatives from a number of images. AI also helps pass moderation using various illusions and special effects.
Read also!
"Sample proposal for cooperation: just follow the instructions!"
Read more
7 Simple Examples of Using Neural Networks in Business
Let's look at some of the commercial areas where they are used:
Finance. AI is used to predict market trends and economic changes. In addition, neural networks are actively used to analyze credit risk, identify potential fraudsters, and manage investment portfolios.
Banks. Neural networks audit loan applications. The program analyzes various parameters collected from the social networks of a potential borrower and makes a decision. A person's activity on the Internet can affect the likelihood of mortgage approval. Previously, banks needed tens of hours to review one application. Neural networks allow this to be done in a matter of seconds.
Healthcare. AI analyzes medical data and makes predictions about what treatment will be optimal in a particular case. In addition, neural networks are actively used to monitor patients' health and prevent diseases.
Pharmaceutical organizations. The company compresses the chemical composition of drugs whose medicinal properties have already been identified into a “spectrum.” This information is then processed by a neural network. A week later, the AI creates a description of molecules that can be used for new drugs. Previously, this process took a very long time.
Manufacturing. Artificial intelligence is used to optimize industrial processes and quality control. In addition, neural networks for business allow predicting when equipment will need to be serviced and repaired.
Recruitment agencies. The behavior of office and production employees is Big Data for a neural network. Artificial intelligence is often informed about movements around the open space, smoke breaks, absences, overtime, early fulfillment of KPIs even better than the staff itself.
examples of using neural networks in business
Various data sources help with this. For example, video surveillance, access control systems, information from work computers. The information is very quickly combined and processed by the program. Neural networks are used in the HR departments of Vodafone, Intel, Nike. They predict the departure of an employee. For example, in transnational companies, HR employees begin to look for candidates even before the resignation letter is submitted.
Online cinemas and video services. The neural network calculates the scenes of the video and compresses them without losing quality. This allows users to watch content without any pauses even with a slow Internet connection. Thanks to AI, many video services and online cinemas were able to enter the markets of countries that do not have a fast Internet connection. In addition, neural networks help to form recommendations based on the videos watched. Moreover, AI can create a personalized offer for the user based on information about people with similar behavior.