Neural networks and AI

Neural networks and their scope

Neural networks are a set of algorithms modeled after the human nervous system that are designed to recognize patterns qualitatively. They can interpret data, learn and self-improve.

Neural networks are closely related to machine learning – a data analysis technique that allows a robot to independently master arrays of information and solve certain problems.

The development of neural networks is gradually becoming a global trend, which is being actively pursued by companies and enterprises from different fields and areas. The main vectors of AI application include cybersecurity, risk management, automation, video surveillance, voice control, game development, etc.

In addition to these features, the introduction of artificial intelligence helps a business to establish communication with the target audience, achieve significant success in customer service and other operations (for example, in real-time invoicing automation).

In e-commerce, new technologies allow marketers to more quickly understand user behavior based on an analysis of the actions, preferences, and purchases that potential customers make.

Today, the most developed and powerful neural networks are owned by large companies, including Google, Facebook, Pinterest. They meet the commercial needs of users and, at the same time, meet the needs of other corporations.

Reasons for integrating neural networks into business

Using artificial intelligence to automate and optimize business processes gives companies a significant competitive advantage. However the advantages of implementing neural networks do not end there:

• Save time and money

In terms of its capabilities, AI is comparable to the human brain. You supply him with information about your organization and assign certain tasks. The technology will use data to learn and adjust, just like a human learns.

At the same time, neural networks function faster and do not make mistakes due to carelessness, fatigue, etc., It saves money and time spent on hiring employees or outsourcing certain projects.

• High quality and accuracy of results

Artificial intelligence does not need rest or sleep, and always works with the same efficiency. Neural networks independently collect and analyze the necessary data, provide high-quality and accurate results. Due to machine learning, AI handles natural language processing (NLP), recognizes patterns and images, fixes problems, and runs smoothly at all times.

• Business development

Your employees will be able to focus on the things that truly matter, doing their day-to-day work without being distracted by the time-consuming and effortless routine tasks that will be transferred to artificial intelligence. Ultimately, this will lead to more efficient and faster operation, as well as accelerate the process of enterprise growth.

• Anti-fraud

Machine learning helps you identify potential fraud cases promptly. So, PayPal uses artificial intelligence fughting money laundering. The technology analyzes and compares a variety of transactions to calculate suspicious transactions.

• LTV calculation

Neural networks can accurately calculate LTV (the total profit of an enterprise from one client for the entire time of cooperation), as well as perform the functions of other metrics. For example, based on data generated by AI, long-term strategies for the development of online stores are built and real revenue from customers is estimated.

• Customer classification

This ability of neural networks is especially important when serving users online. If the client contacts the company, the AI ​​will correctly analyze the application according to several criteria (text, layout, image, sound, etc.), recognize and send it to a specialist who knows the consumer’s language, and can solve his problem.

• Building smart chatbots

Neural networks are capable of analyzing natural language, so their potential is used when creating chatbots that help customers get the particular information about certain products. This solution helps to significantly reduce costs in business.

Advantages of software development based on neural networks at AVADA MEDIA

Neural networks are universal systems that can have different purposes and be applied in many areas. The speed of development and the potential of artificial intelligence prove that new technologies have great prospects in the foreseeable future. Artificial intelligence is capable of learning, so it can be constantly improved while increasing its functionality.

In the process of implementing neural networks, our specialists are guided by three main principles:

• Structured Approach

At the initial stage, our team chooses and structures an approach to access and data management, since any organization uses several different sources and types of information that support day-to-day operations.

• Split testing

To achieve the best result, specialists necessarily offer several models of personal recommendations and conduct A / B tests. Thus, the effectiveness of innovations on the project is measured and analyzed.

• Data analysis and detailed reporting

The development and implementation of artificial intelligence in an enterprise is a rather laborious and lengthy process. In total, it can take from 6 to 12 months, so specialists monitor the progress of the neural network, which should bring the company profit and optimize processes. They also study the dynamics and results of the system. Detailed reports are drawn up based on this data.

AVADA MEDIA develops and trains neural networks for automating business tasks, making forecasts, analyzing data, promoting goods and services. A deep understanding of the desires and needs of the target audience is the key to success.

With the help of artificial intelligence, you can optimize your marketing strategy, process large amounts of information quickly, create targeted marketing campaigns, and effectively increase profits.