Artificial intelligence is a trend that has already become a reality in the digital market. It is a type of technology that allows machines to xt database human behavior, analyze the environment, learn and make decisions autonomously and without human intervention.
This is one of the main elements of Industry 4.0 and one of the highlights of digital transformation – which has already gone beyond the factory floor and is increasingly taking over the day-to-day activities of all corporations, making business models more competitive and disruptive. The strategies behind artificial intelligence range from recommendation systems for purchasing products to predictive pricing of a service based on demand.
In digital marketing, artificial intelligence is already part of everyday life, with several technologies capable of developing better products, services and strategies. Check out the main ones now and count on the WSI team to start more efficient planning in relation to lead generation, relevance and increased results.
Machine Learning
This is the technology that enables automatic machine learning. Through it, it is possible to process a large volume of data, identifying patterns that generate knowledge about user behavior.
As a result, machines enter into a continuous nordstrom swot analysis process, improving decision-making, even without any human intervention. In digital marketing, we can see the application of machine learning in technology services and products – such as streaming, which suggests new titles based on your consumption behavior.
Deep Learning
Another type of deep machine learning. Here, the technology is based on neural networks, which use more complex algorithms to approximate the functioning of neurons and the human brain. This concept enhances the ability to process data and generate intelligence.
By using deep learning in a video ad campaign, for example, it is possible to incorporate performance dynamics into video ads for the so-called top of the funnel (when the user is just curious about a topic, but without a firm intention to purchase), allowing for the variation of an ad or call to action based on the algorithm’s predictions about each user’s behavior and preferences. All of this in an automated way.
Speech recognition: a real-world application of machine learning
The famous virtual assistants are not only fun, but also functional – and a simple example of how machine learning can be applied in digital marketing.
These platforms are voice user interfaces (VUIs) that use Conversational AI technology. This represents a breakthrough in human-computer interaction. Instead of menus, clicks, or taps, we use voice, which is the most natural way humans australia database directory with the world. Then, AI has the task of understanding what people are saying so it can also speak to them and perform the tasks they want.
To achieve this, these systems rely on natural language processing, which not only understands what people say, but also responds, interacts and learns more and more. And they go further: they understand not only what we say, but also how we say it, which allows them to capture emotional nuances in speech.
