In IBM's words, Artificial Intelligence (AI) is a set of elf-learning systems. Through data collection, it has the ability to add human-like cognitive abilities to machines..

Alexa and Siri, voice-controlled personal assistants from Amazon and Apple respectively, are clear examples of the User + AI linkage. The latte collects and analyzes large amounts of data, then predicts user behaviors to provide accurate responses..

Of course, these systems cannot solve complex design problemsthat require empathy, empathy, as a UX expert would. However, technology is our ally to automate and carry out repetitive tasks, among other functionalities.

AI is characterized by having the ability to:

• Understanding: AI understands the data we provide (images, audios, text tables, among others).
• Reasoning: from the understanding of data, has the ability to formulate hypotheses and offer arguments with support.
• Learning and interaction: it has the power to improve the system through the multiple interactions it has with users. In other words, AI can be exercised, and thus achieve better results and more accurate solutions as it accumulates data and gains experience.

AI in digital interface design

When designing user-friendly, intuitive and accessible interfaces for the user, , it is not enough to collect large amounts of data. It is also necessary to ystematize them, analyze them, create prototypes and, only then, ome up with the final product. Nowadays, these repetitive processes can be carried out with the assistance of Artificial Intelligence.

The main advantage of these tools lies in their ability to optimize and streamline steps and tasks. Reaching the automation of digital interfaces, which can then be adapted to each adjustment and prototype resulting from our iterations.

With the help of AI, it is possible to predict user patterns and behaviors, based on segmentation and different decisive factors. This results in personalized experiences, executed through intelligent interfaces. Something that manually, due to logistical and material issues, would be impossible to execute.

Added value: personalized experiences

Personalization of experiences through AI offers unique value to each person, building different experiences according to their consumption, shopping and search behaviors; their difficulties, pain points, preferences, interests and needs..

More and more companies are deciding to introduce AI to improve their sales and provide more satisfying customer experiences. The predictive models offered by technology make it possible:

• Preventive detection of users with a high probability of abandoning or not using the service.
• Anticipate the real needs of each customer, which may change over time.
• Finding increasingly precise solutions to the challenges of today's market: new trends, purchasing patterns, search preferences, etc.

Ultimately, the purpose of AI applied to experience design is to help people. What new advantages and benefits for users will it be able to offer in the future? How close is that future? Are we still a long way from knowing the true potential of the AI + UX linkage?

These questions invite us to reflect and let our imagination and creativity run wild. That's why at Dobleuv Design we closely follow every technological advance that can translate into better experiences and greater benefits for the world's users..