The invisible revolution: the power of artificial intelligence in digital marketing

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Nowadays, digital marketing has increasingly taken advantage of the facilities that artificial intelligence (AI) provides to improve strategies, ensure a more satisfactory customer experience and optimize team time, in addition to contributing positively to many other important steps for the success of brand planning.

This is possible thanks to the AI ​​functionality that allows companies to collect and analyze various data in real time, so that they can personalize their product and service offerings for each customer, anticipate needs with personalized messages and, of course, increase ROI (Return on Investment), since strategies will have lower costs and more results.

Artificial intelligence can be used in thailand mobile database areas of marketing, such as content personalization and ad management. From the creative, process and analytical levels, it can increase capabilities and profits.

What is artificial intelligence?
A concept that has existed since 1950, artificial intelligence began to be researched in the field of computer science, with the initial goal of creating systems capable of simulating the human ability to reason, learn, decide and solve problems. In other words, it refers to intelligence similar to that of a human, but through software.

Over time, this mechanism has been improved and increasingly incorporated into people's routines. Contrary to what many imagined, we are not seeing robots, but rather systems that work through a sequence of codes that serve as commands, performing a task on a larger scale and freeing up humans to solve more complex tasks.

It is possible to separate artificial intelligence into two main groups:

· Rule-based systems – use a series of logical determinations to make decisions.
· Data-driven systems – use machine learning algorithms to identify patterns in large data sets.

This technology can be applied in several areas, such as:

· Virtual assistants;
· Speech recognition systems;
· Image recognition systems;
· Product recommendations.