Neural networks are artificial intelligence technologies that mimic the functioning of the human brain and are applicable for many business tasks. Typical tasks of neural networks for business include:
Neural networks can manage chatbots and virtual assistants that help customers with their questions and issues.
Neural networks are capable of analyzing large volumes of data and predicting future trends, demand, or prices, which helps companies make better decisions.
Neural networks can tailor products, services, and marketing to align with individual customer needs and preferences.
Neural networks excel at analyzing images, videos, and audio files, for instance, identifying products, faces, or speech.
Neural networks assist in understanding and processing human language, for example, in text analysis, translations, and automatic content creation.
Neural networks can suggest products or content that best match user preferences and behavior.
Neural networks can identify unusual events, such as credit card fraud or cyberattacks, and alert companies to potential threats.
Neural networks can optimize storage, transportation, and supply chain planning, allowing companies to operate more efficiently and economically.
Neural networks can analyze customer data and create clear customer segments, enabling companies to more effectively target marketing efforts and offers.
Neural networks can help identify the risk of customer churn and suggest measures to retain customers in the company for a longer period.
Neural networks can identify quality issues in production and logistics, helping companies improve processes and reduce losses.
Neural networks can help companies optimize personnel resources, such as shift planning and competency development, enhancing efficiency and productivity.
Neural networks can analyze large volumes of data and find new opportunities for business, such as niches, product ideas, or partnerships.
Neural networks can process large volumes of customer feedback and identify key themes that will help companies improve their products and services.
Neural networks can help companies identify and assess risks, such as market volatility or credit risk, and plan measures to minimize them.
Neural networks can analyze the environmental impact of a company's activities and identify ways to reduce the carbon footprint and consumption of natural resources.