AI + UX: The real value of UX for artificial intelligence
Artificial intelligence is the future of UX. A reality that users experience every day in products and services such as public transport, social networks, internet shopping, entertainment and more. Their combination (AI + UX)has impacted industries such as health, through the analysis of clinical histories, improving patient care; in banking, optimizing the offer of products suitable for the needs of users, in addition to generating accurate predictive methods based on customer behavior.
What results from combining IA and UX?
We can start from the essential and define what artificial intelligence is. In chapter 7 of our AI Rock Show podcast, our CTO, Germán Ramírez, defines it as: “A set of techniques that allow a machine to have a behavior that, in principle, is characteristic of human beings, and that is why they are smart ”. Currently, artificial intelligence can be seen in algorithms that learn through training to solve real-world problems.
On the other hand, UX is the design process carried out by a multidisciplinary team that works through consecutive iterations for the ideation and creation of products, focused on providing meaningful and unique experiences to users. It also encompasses the investigation of how the product, service or system is perceived in its interaction with it. Without forgetting, that the experienced designer must take into account aspects such as the brand, the design, its usefulness, functionality and usability.
In this age of digital transformation, the UX, accompanied by artificial intelligence (AI + UX), become two fundamental pillars for improving people’s quality of life and their adaptability to the new reality that embraces us.
Uses of AI with UX
Artificial intelligence does not replace the human being, instead, it facilitates processes that normally require more effort, displacement and time. The ideal is to provide the user with a better perspective in decision making on multiple tasks and to offer strategic solutions with creativity, focused on user satisfaction and compliance with business objectives.
Currently an example of the use of artificial intelligence in UX (AI + UX) are chatbots, which have become an automated communication channel. With far fewer staff, chatbots handle suggestions, requests, requests, and complaints with immediate responses to their requests regarding the products and services they consume.
This is a constant learning exercise, based on a specific bot question and a specific user response. It is this process that nourishes artificial intelligence, the acquisition of data allows the machine to analyze all the information and predict scenarios through its responses, which ends up becoming the real value for the entire process.
Today it is common for people to interact with conversation systems and technologies, where the responses of the machines are increasingly natural. The challenge is to naturalize their communication, because many times these automated systems slow down the user experience with programmed responses, which end up forcing the person to limit herself to the environment offered by the chat.
Google Duplex has worked hard in UX, using artificial intelligence for restaurants and shops, this assistant performs specific tasks such as making appointments and making reservations through natural conversations. The communication offered by the machine is so real, that it is difficult to notice that there is automation trained to dialogue with the store or stablishment. In the following video we can see a demo of a conversation with the assistant.
Changes for UI and artificial intelligence.
Over the past decade, many advancements have been experienced through device interfaces. When creating these user-friendly and user-friendly digital environments, various challenges such as collecting large amounts of data, designing prototypes, and delivering useful end products for user.
Currently, all these creative and strategic processes are carried out with the use of tools assisted with artificial intelligence. In the case of design, we can see it with Adobe products, which integrate in their editing tools, an ideal balance of the intervention of the designer and the management of graphic tools with AI.
These tools have had an enormous transformation and evolution, allowing to reduce design and ideation cycles. The main focus here is to achieve automation of wireframes and interface designs, which are easily adapted to prototype adjustments resulting from iterations.
Can you predict if a design is functional? The answer is yes and many companies are betting on this. With data collected from the tools through their use in real time, it is possible to predict customer behavior based on attributes, segments and different conversion factors, resulting in personalized experiences through smarter interfaces, with a variety of solutions tailored to requirements. analyzed.
Customizing AI experiences
In order to offer valuable content for each person and generate different types of experiences according to consumer, purchase and search behaviors. Customizing experiences with artificial intelligence turns out to be much more successful for different niches and market segments. For those interested in learning more about personalizing experiences, you can listen to Chapter 3 of the AI Rock Show.
The new opportunities of companies with UX and AI.
As for companies, they must face their greatest challenge: innovate.
The Government of Colombia, on May 22, 2020, signed the agreement on artificial intelligence with the OECD * (2), whose objective is to make the digital transition for sustainable development.
Thus, a great door is opened for companies to make the first leap to the use of artificial intelligence, being this the ideal tool to maintain its relevance and competitiveness, offering real value in all subjects, especially for the user experience.
The implementation of artificial intelligence can push companies to increase their income, operating costs, profit margins and optimize processes in the hands of the UX.
Sectors such as marketing and sales in companies are using artificial intelligence; using predictive models, users with a high probability of leaving the service are detected. This allows timely decisions to improve the user experience and decrease the churn rate of any company.
In conclusion, artificial intelligence is taking us to new digital environments, allowing us to anticipate the real needs of users with data analysis from different sources, in addition to optimizing processes and finding precise solutions for the challenges of today’s market.