Digital marketing reinvents itself thanks to artificial intelligence

Digital marketing and artificial intelligence.

With the ever-increasing development of the Artificial Intelligence (IA) within the field of digital marketing industry and advertising, new possibilities have been opened. Ariel Sande has affirmed that his company increasingly links his work with the use of Artificial Intelligence. He added that this can become the main ally of the digital marketing industry.

Data collection helps create new strategies for the target audience.

Digital Marketing strategies
Via: creativa.online

Company digital marketing industry specialized, Teads, has already begun to explore the possibilities that artificial intelligence can offer and / or facilitate to develop better sales strategies and improve efficiency. The vice president of the company's Strategic Accounts branch, Ariel Sande, has already explained how the use of artificial intelligence impacts advertising and marketing.

Artificial intelligence is capable of detecting emotions through the voice

The executive explained to the media that at first glance, the innovation that AI brings may seem much more complex. Although when you understand the logic of its use, it is not so strange.

About us Teads use the Artificial Intelligence with supervised machine learning. Learning which is a variant of AI where algorithms learn thanks to the help of a data record. So that they learn to assign and stamp the appropriate strategies. The company uses artificial intelligence to determine eight different variables that help it be more efficient in delivering to its advertisers.

Strategies for Digital Marketing

Teads relies on three components to realize its strategies with the help of the Artificial Intelligence. First of all the first component consists of the Machine learning, which is responsible for giving visibility to the company and determining if an ad will have a full view at a certain place and time.

Followed by the second component is the Data, which is responsible for estimating a correct answer than Machine Learning. Finally the third and last component is the Answer, which consists of issuing a result after analyzing the Machine Learning data.

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