Artificial Intelligence (AI) is a technology that allows app developers to achieve a better mobile experience and improve personalization capabilities for customers.

Understanding voice commands and the execution of direct orders are some of the common uses of Artificial Intelligence on mobile devices.

Applications developed with AI generally act as a mediator between customers and service, which means, they help users to accomplish certain tasks without human interaction.

It has been said AI machines for app development are expensive for companies to maintain and manage, however, it has been also said this technology represents improvements in the production capacity and in the execution of tedious tasks with a less margin of error.

Integrate AI into your Android apps could be more appealing to users because this technology tries to satisfy the needs of customers in quicker and easier ways. The following are some of the functions you might consider to add to your app:

Predictive and smart Reply

We all have seen the Gmail ”smart reply” which was presented by Google about a year ago. The responses are generated based on the type of message you receive, you may choose from three different type of responses with buttons shown at the end of the email.

LinkedIn assists users with predictive replies by recommending phrases when they are chatting, and help them to keep the conversation flowing. It seems both services are integrating AI to hold more people and motivate them to use their messaging service.

Understanding user behavior through data analysis

The mobile health app Sweetch has been developed to help people prevent diabetes and improve outcomes, by motivating long-term behavioral change with generic recommendations.

The app collects information from the patient´s mobile phone and process it automatically, then it suggests the most useful activities for the patient based on this data.

For example, If you are a sedentary person, it might suggest you walk for 10 to 30 minutes a day, but if you are an active person, it will prefer to focus on your diet.

Using this technology on mobile devices help companies provide better services to customers, however, the outcomes of these services need to be processed.

Some of the data which AI use is human-labeled and some companies are making money by doing this. Certain studies have been done only with AI technology and in some cases the results are inadequate, and an accurate labeled information is a key factor for AI algorithms.

Speech recognition

Cortana, Google Assistant, and Bixby are some of the most popular virtual assistants on mobile devices. The goal of integrating this technology into an OS is to provide users a better way to interact with technology and optimize productivity.

Google gives software developers resources to create virtual assistant apps like the Voice Interaction API, and projects like Dialogflow give companies a way to interact by using engaging voice and text-based conversation interfaces.

AI technology is advancing and it seems there is a lot more to come to the app development environment. Mobile devices are the quickest way to engage customers and, for companies, much of what AI solves is related to the need of providing a better customer service. Certainly, something that is required in order to grow.

What do you think about this integration of AI into mobile devices? Tell us in the comments below!