How to use AI in Mobile Apps? Top 8 AI Apps

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Artificial intelligence in the mobile app is one such technological innovation which is emerging in recent times. The mobile app has not left any nuances to integrate as their trending feature and AI is gaining much popularity

The market for AI is in a very good position and is about to boom high in the upcoming years. The stats clearly show it. This is one of the major factors why top mobile application development agencies are upgrading their skill set and their apps and equipping them with AI developers and AI-enabled apps.

There are numerous reasons why AI is becoming people’s favorite. It offers benefits to tech giants and local users.

How to use Artificial Intelligence in the mobile app?

You need to decide the AI technology or feature you want in your application. Here are some of the ways you can integrate AI in a mobile app.

  • Optimize the searching process of the mobile application.
  • Integrate audio or video recognition in the app.
  • For learning behavior patterns of the app users.
  • Create an intelligent and friendly digital assistant.

Top 8 AI Mobile Apps

Speech Recognition Technology

One of the most popular AI technologies used in mobile applications of the voice control system is speech recognition. Take an example of Siri and Cortana, they decode and convert human speech into a format that a computer understands.

Plenty of mobile app development companies integrate this functionality into their apps and make it compatible with the latest AI trends.

Chatbots

This Artificial intelligence feature is of great use when it comes to developing business apps. It helps the companies to interact with people who fill the feedback form or inquire about the company while visiting it.

Chatbots are the virtual assistant for the company answering user’s questions. Popular companies having virtual assistants include Apple, Amazon, Artificial solutions, Google, IBM, creative virtual, Microsoft, satisfy, and many more.

Natural Language Technology

If you are looking to develop an app for customer service, natural language technology is the apt AI technology to integrate. Apps for creating reports and market reviews need this AI technology into their mobile apps

Machine Learning

It is one of the most popular AI technologies integrated into the majority of the apps. For corporate, having an app with machine learning is very important.

The machine learning technology is extremely useful for classification and forecast. So, if your business involves forecasts, having an ML-based app helps a lot.

Biometrics

Biometrics is an AI technology that identifies, analyzes, and measures human behavior. It can recognize the physical aspects, structure, shape, and size of the human body.

The biometric AI technology also knows the voice, gesture control, and sensory recognition. Biometrics is mostly used in marketing and research.

Emotion Recognition

AI provides another interesting technology that allows reading human emotions from their face. The emotion recognition tech uses advanced image processing or audio data for emotion recognition. This allows capturing human senses with voice intonation and subtle speech signals. This technology is extremely popular among startups.

Image Recognition

Image recognition is a great addition to mobile app development. Image recognition technology depends on the process of detecting any object in a digital image or a video. This technology also identifies license plates, analyzes clients to check users by their face, and diagnoses diseases.

Text Recognition

This is also called natural language processing which allows the user to find all the relevant information you need in the news, search engines, and structure solid texts. At present this technology applies in the fraud detection system and security.

Benefits that AI

Neural Networks

One of the interesting things about AI is machine learning. Machine learning comes in great use for technologies like forecasting or voice synthesis, automotive, aerospace, financial market like real estate valuation, mortgage, credit counseling, and military use like recognition of signals, images, and autopilot.

All of these functions are easily carried out by neural networks. Neural networks or what we popularly call Machine learning are present and used by all of us in our day today.

Here are some of the common uses of machine learning:

  • When we draft the mail, there is automatic address recognition and mail sorting.
  • In banking, the automatic check reader, automatic voice recognition, and signature authentication system are due to neural networks.
  • Smart symbols and agents in computer games.
  • Automatic face detection and focusing on digital cameras.

Also, Google and Microsoft both have upgraded their translation apps with neural networks. They have released new AI-powered offline language translator apps for iOS and Android.

Neural network algorithms have proved to be more effective and availed users with offline working capability.

Learn User’s Behavior Pattern

When machine learning and natural language processing are combined, it offers a realistic interaction based on the user’s likes. Based on the users likes, technology can study user behavior and their pattern to provide them with exactly what they are looking for.

Having this feature in the mobile app will give users a very personalized experience.

Netflix is one of the popular apps which have integrated this feature to track and collect their user’s data. Based on this data, they give content recommendations to them. Mobile app users definitely like getting what they want without having to search for it.

Offers Conversational UI

The conversational UI feature is a great addition for better communication. It offers the liberty of interacting with computers on human terms. Speech recognition is not a very new concept but the conversational user interface makes communication robust.

Generally, management and finance apps integrate this technology and interact with their users through voice or text messaging. The AI technology also analyzes payments, balances, spending, and most probably to give the best financial recommendations to the users.

Offers Automated Reasoning

For improving productivity, this is one of the important AI technologies to install in the mobile app. The best example to fit this scenario is Uber.

Uber, a taxi booking app is using automated reasoning to get the nearest route to drop the users to their destination faster. The automated reasoning collects data from all the cab drivers who have taken trips to a similar route and know from the trips.

Completes Monotonous Tasks Rapidly

It’s really boring and frustrating to do the same tasks repeatedly at the job. Well, with AI these monotonous tasks get completed easily and quickly. Doing the same tasks repeatedly kills creativity and wastes time and resources.

When Artificial intelligence enters in such tasks, users have time to invest their time to do something innovative and solve some real-time issues.

Accuracy and Perfection

Artificial intelligence is one of the best ways to get speedy output with accuracy and perfection. The chances of mistakes are lesser in every sector where AI is implemented. A small numerical error can make a huge disaster.

Wrapping Up

Artificial intelligence has paved its way in app development. It is not going anywhere anytime soon. So, if you are going to develop a new app, you better equip it with .

It is the best way to get new users and keep the existing users engaged. It tracks user behavior and entails them with a personalized experience.

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