Let's list the most effective tools in this area:
Albert
We have already mentioned this platform. The service allows you to automatically optimize advertising campaigns, offering various recommendations related to budget changes, target audience selection, adaptation of advertising materials, and so on. The tool is actively used by marketers who interact with Google Ads, Facebook Ads, and some other platforms. Access to the service is available after subscription. There are several tariffs to choose from.
Jasper AI
The platform allows you to band database optimize advertising campaigns. This AI studies information about the advertising used and generates recommendations that improve various marketing indicators. With the help of the service, you can correctly set up a budget, detail the target audience, and adapt advertising materials. Artificial intelligence is used by marketers who work with platforms such as Google Ads and Facebook Ads.
Persado
Content generation service. With its help, marketers can create texts for advertising campaigns, email marketing, social networks and other communication channels. Neural networks for business, used by this platform, analyze information about the target audience of the enterprise and form optimal texts and styles. As a result, the company receives content that will be of maximum interest to specific users. Persado can be used after subscription.
How to achieve multiple growth in traffic and sales from your website?
Alexey Boyarkin
Dmitry Svistunov
Head of SEO and Development
Read more posts on my personal blog:
I have always been concerned 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.
And I know that such leaps are always the result of painstaking work in five areas:
Technical condition of the site.
SEO.
Collection of site semantics.
Creating useful content.
Working on conversion.
And at the same time, every manager needs an increase in sales and the number of applications from the site at the moment.
To get this growth, download our step-by-step template for increasing sales from the site:
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Recommendations for choosing a tool for creating a neural network
At first glance, it may seem that doing this for business processes is very difficult. However, in fact, you don’t even need to have programming skills. There are many useful tools that simplify the task.
Let's list several parameters that you should pay attention to when choosing services and programs:
Convenience. The tool interface should be as clear as possible. It should not take much time to master. A striking example is Keras. This is a library for creating neural networks, which has a simple and clear interface. At the same time, the platform allows you to develop networks of any level of complexity.
Data handling capabilities. The tool should have a function for preliminary information processing. The program should have a wide functionality for processing data of any volume. This includes transfer learning technology, which can be used to apply ready-made models to solve new problems.
Cost. The price of the tool is one of the most important factors. There are free services. For example, TensorFlow and PyTorch. There are also paid options, which, as a rule, have more useful functions. For example, IBM Watson Studio.
7 steps to create your own neural network for business
Let's consider the main stages of the task:
Setting the goal. First, you need to understand what tasks the neural network will solve. For example, classifying images, determining tonality and processing text, and so on.
Forming a data set. At this stage, you need to prepare the information that will be used by the neural network for training. The more data is used, the more perfect the final system will be.
Writing code. This will require choosing a programming language.
Stages of creating your own neural network for business
Training. Logical chains need to be formed. To increase the speed of training, you can run the neural network on a dedicated server.
Analysis of results. It is necessary to evaluate the efficiency of the neural network by various parameters. For example, to determine the accuracy of its predictions, the speed of learning and deviation.
Open access. This is the final stage, at which it is necessary to double-check the operation of the neural network and prepare it before starting work.