TOP BENEFITS OF ARTIFICIAL INTELLIGENCE FOR MOBILE APPS THAT YOU CAN’T IGNORE

BySphinx Solution

Over the past decade, we have seen many emerging technologies making their way into the mainstream industry verticals. Artificial Intelligence is one such technology which is contributing immensely to the current evolution of innovation. Mobile applications leave no stone unturned to stay ahead in trends that brought a huge transformation in mobile app development.

With an increase in solving problems through mobile applications, integration of AI is raising. It seems the more we get addicted to our mobile devices, the more exposure AI is gaining.

According to a report by Statista, the global market value of AI is estimated to cross 1.7 billion U.S. Dollars by the end of the year 2022.

Before we approach the top benefits of AI in mobile apps, let’s revise:

What is Artificial Intelligence (AI)?

Artificial Intelligence or machine intelligence is a revolution that solves problems normally where human intelligence is necessary. Tasks like face unlock, Translating Languages in Real-Time, camera subject detection, and voice search are the highlights of AI with mobile apps.

Here is a list of top 5 AI benefits that you can’t ignore.

  • Optimizing the User Experience (UX)

AI integrated mobile apps automate lots of our daily errands. From augmented reality (AR) to cab apps, they are almost everywhere to support us. Well, Google lens is one such example showing how AI can make daily work easier. With Google lens, all you have to do is point your phone’s camera at something and the app brings up relevant information about that thing. This enhances the overall in-app user experience.

Similarly, your mobile application with AI can drastically change users experience offering your app a better engagement. For that, you need to hire mobile app developers who possess knowledge and experience in AI.

  • Natural Language Generation (NLG)

If your app is about customer service with natural language generation (NLG), you can tap vast data automatically producing informational pieces for your mobile app. The technology advancements in NLG and cloud solutions are helping the journalism industry. Leading media companies like Urbs Media are generating stories or articles based on data by using NLG robojournalism programs. This increases the overall efficiency of the app functionalities.

  • Learn users’ behavior patterns

Natural Language Processing (NLP) combined with Machine Learning (ML) offers a realistic interaction according to the users’ preferences. This combination comes with the capability to learn users’ behavior patterns for seamless interaction. For example, Netflix uses ML for gathering data about users’ past behavior. All of the service or content recommendations are based on this information collected on the user’s previous choice. Here the goal is to understand user behavior as quickly as possible so that Netflix can make users’ interaction more meaningful.

  • Conversational User Interfaces (CUI) for better communication

CUI offers the freedom of interacting with the computer on human terms. Though speech recognition isn’t new to us, CUI is making it more robust for better communication. Mostly, Finance and Management Apps are using chatbot in their application where the users can interact via voice or text message. The bot also analyzes spending, payments, balances and more to give the best financial recommendation to the users.

  • Offering automated reasoning

To enhance the productivity of the app, automated reasoning can solve problems within a couple of minutes. Take a real-world example of Uber. Uber uses automated reasoning to find the shortest routes to drop you to your destination faster. This algorithm gathers data from other cab drivers who have traveled similar routes and learns from their trips.

Among all the examples of real-world, Amazon is the leader in using AI and ML. Amazon Alexa AI app software offers some extra-ordinary user experiences in incredible ways.

Integrating AI in mobile apps involves a lot of work. You must immerse in nurturing your idea of an intelligent mobile app for the best outcomes. In the future, we are likely to see more AI apps transforming the way we interact with brands.