With the advent of smartphones, apps have become an integral part of our lives. The app market is booming and is only going to get bigger. According to Statista, by 2021, the global app economy will be worth $6.3 trillion. Mobile apps have become a necessity in our daily life. They are being used on a large scale. They have become the primary interface between a user and a mobile app. Today, most of the apps on Android and iOS are mobile apps.
Because of the large number of users, the enormous amount of data, and the need to keep the app up-to-date, mobile apps are becoming a necessity. One of the critical reasons for this phenomenal success is the advent of AI. AI has made it possible for apps to become more innovative and user-friendly. In this article, we will look at the top 8 AI technologies most often used in mobile apps.
What is artificial intelligence?
Artificial Intelligence is the branch of science that deals with creating intelligent computer systems. Well, AI doesn’t exactly mean that a computer app is capable of thinking. It implies a computer app can use various forms of data to learn, reason, and make decisions.
The objective of AI is to simulate human intelligence. One can apply it to several fields such as Software development, Business, Robotics, etc.
How will AI improve the mobile app experience for the users?
The key objective of AI in mobile apps is to make the app experience more user-friendly. The first step towards achieving this objective is to understand the user. The second step is to use various data to predict the user’s needs. The third step is using the data to learn and develop the best mobile app experience. The most significant benefit of AI in mobile apps is that it improves the app experience. The following are some of the key benefits of AI in mobile apps.
- Speed
The most obvious benefit of AI is that it is faster and more efficient than humans. With the help of AI, the app can get the job done faster.
- Increased Efficiency
One of the most significant benefits of using AI in mobile apps is that it can help to increase efficiency. For example, a doctor can use AI to diagnose diseases faster and more accurately than a human could. If you’re a retail business, you can use AI to recommend products to customers based on their previous purchases.
- Better User Experience
Another great benefit of using AI in mobile apps is enhancing the user experience. For example, if you’re a retail business, you can use AI to recommend products to customers based on their previous purchases.
- Better User Interface
AI can also help to make a UI more intuitive. The great thing about AI is that one can use it for various purposes, which ultimately makes it a valuable tool for mobile app developers.
Top 8 AI Technologies Most often Used in Mobile AppsÂ
The current application of AI in mobile apps is beyond our imagination. We can see the practical applications of AI in mobile apps. Let’s have a look at some of them.
- Chatbots
Chats are a vital part of any mobile app. They are the medium through which you can interact with your users.
They help with customer service and support. It is often quite challenging to design a good chatbot. Most of the time, chatbots function as a question-and-answer service. They can have a conversation with the user. In this context, chatbots are nothing but software programs that can talk to humans. They can take the form of a text, video, or voice bot. The instant messaging app Kik is an excellent example of chatbots in action. It has chatbots that can answer questions on various topics.
- Video Recognition
The ability to recognize videos has been one of the critical technologies in the development of mobile apps. In the past, the use of apps is prominent to play videos. But today, video recognition is an essential part of every mobile app. That’s because videos are a vital source of information. So, it is essential to be able to recognize them. This is why apps like Facebook and YouTube have made it a point to integrate video recognition in their apps.
The integration of video recognition is an automatic process. It gets used with the help of computer vision. With the help of AI, a mobile app can recognize the content of a video. In business, the ability to acknowledge videos is used to detect fraud.
- Speech Recognition
Call recording has been a core part of every mobile app. In the past, making calls from a mobile app was pretty challenging. You needed to download a separate app that one can use to make calls. However, with the advent of speech recognition, the era of call recording is over. Instead of downloading an app, you can use the speech recognition feature to make calls. You can also make calls from a mobile app on social media platforms like Facebook, which is a great feature.
- Machine Learning
Machine learning is the best way to make your app smarter. In the past, mobile apps were programmed using minimal rules. You had to limit your app to a specific set of logic. Today, machine learning is changing this. It is the best way to make your app smarter. In the context of mobile app development, machine learning can automate your app’s parts. In the case of a customer service app, this means that a machine can analyse the content of a customer’s message. And the device can automatically respond with the right content.
- Analysis of User Behaviour
Mobile app development is all about understanding the behaviour of your users. This involves understanding their needs and wants. And it also requires analyzing the data that you collect from them. In the past, it wasn’t easy to get accurate data from mobile app users. However, with the help of AI and machine learning, you can quickly analyse user behaviour. This information can use to improve your app’s functionality. This data helps improve the user experience on your mobile app. For example, you could use this data to identify the areas where they need improvement.
- Recommendation Engine
Recommender systems are machine learning algorithms. Most of the time, they work by analyzing the behaviour of the users. It learns from the data and makes predictions that can be used in the future. In the context of mobile apps, recommendation engine usage is to create more useful apps.
For example, the popular messaging app WhatsApp has a recommendation engine. It uses to make the app more useful.
- Facial Recognition
Facial recognition is another great way to make your app smarter. Facial recognition is a process that involves scanning the face of the user. A machine then analyses this to see if the face is that of the user. In the past, they programmed apps to recognize a specific user. But facial recognition makes it possible to d identify any user. This is why it is one of the most critical components of a mobile app.
- Augmented Reality
Augmented reality is the use of technology to augment the real world. It is a form of virtual reality. In the context of mobile app development, it is being used to make apps more interactive. In the past, mobile apps were not very interactive. You had to use a menu to access different options. Today, augmented reality makes it much easier to access different options. It is pretty easy to create augmented reality apps. You need a few essential tools. And you can use these tools to make your app more interactive.
Conclusion
The AI mentioned above technologies is at the core of many mobile apps. They are being used to make the app more useful. And they are also being used to make the app smarter. It is pretty interesting to know about them. In the following article, we will look at some of the challenges of mobile app development.
Author Bio:
Prashant Pujara is the CEO of MultiQoS Technologies, Top Flutter App Development Company where you can Hire React Native Developer in India for your business. He is in charge of the company’s commercial and delivery operations and strategic planning and strategy.
