Neural networks are capable of generating creative solutions for advertising and marketing. For example, artificial intelligence creates images, videos, and even writes texts. Tools like ChatGPT generate unique texts for advertising, and models like Midjourney create visual content on demand. This allows organizations to quickly and efficiently launch media campaigns, saving time on creativity and reducing the cost of its creation. Campaign optimization also occurs as a result of analyzing a huge amount of data, which allows you to choose the most effective solutions.
Big data analysis and forecasting
Some neural networks provide deep analysis of big data, which helps a person predict future trends. They process huge amounts of information, identify hidden telegram data patterns and trends. This allows you to better understand the needs of the audience, more accurately plan strategies, most accurately forecast sales and adjust production processes. The use of neural networks in data analysis helps to significantly increase the accuracy of forecasts, which is especially important for companies working with dynamic markets.
Recommender systems and user behavior analysis
Recommender systems based on neural networks analyze user behavior and offer them content, products, or services that best match their interests. Examples of such systems are recommendation algorithms in online stores, streaming platforms, and advantages and possibilities of a drill in the zone social networks. Neural networks analyze previous user actions, their search queries, and interactions with content. As a result, this improves the quality of interaction with customers, increases sales, and strengthens audience loyalty.
Examples of neural network applications
Neural networks are commonly used in various industries, helping companies automate processes, improve service quality, and optimize marketing campaigns. Let’s look at several successful examples of neural networks being used in large companies and on popular platforms.
Large Russian corporations are already actively implementing neural networks to solve various problems. For example, Sber actively uses artificial intelligence in its products, such as Kandinsky. AI creates images based on text queries for free, no worse than artists. This allows you to automate work with creatives and reduce the costs of their creation. Sber’s neural networks also contribute to the development of chatbots and other intelligent services, improving customer experience.
In 2024, Wildberries introduced a product search by philippines numbers photo function in the marketplace. If you want to try it, take a screenshot of the item and smart neural machines will be able to show all the most similar product cards. The application is available immediately after registration on desktop and mobile devices.
