Artificial neural networks in business intelligence

In business Data is one of the greatest resources for companies in the 21st century. Having it gives them a competitive advantage over other companies and provides countless benefits if they are used appropriately.

However it is not possible to make

The most of data without having a well-trained rcs data professional with the necessary knowledge to process it. Through the Master in Data in business Analysis & Artificial Intelligence, students will be able to make decisions based on data, organize it, visualize it and apply it to new technologies such as artificial neural networks.

What are artificial neural networks?

Artificial neural networks are a subset of machine maximizing conversions with lead generation learning. They are considered a pillar of Artificial Intelligence , a model based on the functioning of the human brain that attempts to replicate it. This system is formed from a set of nodes that simulate neurons artificially and that are connected to each other to be able to transmit different signals. They receive the information, process it and generate a response.

The goal of neural networks is to be able

learn by modifying themselves, thus being able to fresh list carry out complex tasks. In other words, they are designed so that a machine can solve problems that presumably only a human mind could solve.

The correct functioning of artificial neural. Networks requires a training process in which layers. Are formed that have a certain weight in decision-making. Through images or data, the knowledge of these. Systems is perfected and the artificial neurons are able to. Identify and solve different situations as a human being would.

What can neural networks do?

The capabilities of artificial neural networks are very in business diverse and can bring a great number of benefits to the companies that use them. The more and better the amount of data a neural network works with, the better the results it will provide.

Some of its capabilities are truly amazing, such as:

They have the ability to predict different processes. Such as weather changes, traffic jams or the efficiency. Of a medical treatment.
lass=”yoast-text-mark” />>They can recognize images or symbols: due to the amount of data they accumulate, they are able to identify images, music, videos…
They collect and analyze information: they manage and generate data and are able to find patterns to follow.

artificial neural networks in business intelligence

Uses of artificial neural networks in business intelligence
Due to their potential and capabilities. Artificial neural networks are a very effective resource in business. Intelligence .

E-commerce

One of the businesses that benefits most from neural networks is the e-commerce sector . Thanks to these technologies, online commerce is able to increase its sales, generate cross-selling, personalize its shop windows for its buyers, automate processes and even predict the needs of users.

Data obtained through sales and customer behavior are key for neural networks to improve the sales process in a company .

Finance and Insurance

The predictive capacity of neural networks can.  Through proper use of these technological systems. Banks can identify and prevent fraud, avoiding large economic losses.

Just like in e-commerce, the use of Artificial Intelligence to process data allows for automating processes and improving worker efficiency.

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