Why integrate AI into a Mobile Application

Not only have our telephones evolved over the years and are now known as smartphones, but our mobile applications have also become smarter. 

Back then, we used to have simple apps that could do basic things, and now you can find different and exciting features in every app, like face and voice recognition, biometrics, and many more. 

In this evolution, the role of AI and Machine Learning in the mobile app development industry has always been impactful. When we think of AI, the first thing that comes to mind is either Siri, Alexa, or Google Assistance, but these are just a few well-known examples of AI-integrated apps and software. 

Chatbots, enhanced security, object detection, and predictive analysis are other examples of AI in mobile applications. This blog will discuss the whys and hows of AI in the mobile app development industry. So stay tuned, and grasp as much as you can. 

“An Intelligence made by Humans, AI is a simulated version of the human brain that perceives information, synthesizes it and then gives its own opinion on it and helps us solve problems.”

Why Should Businesses Integrate Artificial Intelligence Into Their Mobile Apps?

Firstly, you can earn more and more profits. How? So, according to a report by Statista, the graph of the AI mobile app development market is increasing exponentially and is believed to reach a hike of 126 Billion U.S. dollars by the end of 2025. 

Other than this, here are several other reasons to integrate AI into your mobile applications. 

  1. It Allows You To Personalize 

Nowadays, people want more personalized experiences through mobile applications. AI-integrated mobile applications allow you to do the same and give a fantastic user experience, helping you retain customers. 

The intelligent algorithms analyze user behavior on the app and social media, collect information and give recommendations unique to each user. 

AI plays a huge role in adding better customer experiences in the e-commerce industry. 

For example, if you search for baby-specific items on Amazon, it will give you recommendations about discounts on these products. It also attracts customers and offers personalized solutions to their problems, increasing user engagement. 

  1.  Gets Help From Neural Networks 

AI never works alone. One of the most intriguing applications of AI is Machine Learning. 

“Machine Learning is a process that uses algorithms to improve the experience over time.”

Machine Learning is a superb choice for voice recognition and forecasting upcoming situations which are so accurate. 

This prediction is made with the help of neural networks, which collect data from various sources to solve problems. The most common uses of Machine Learning are:

  • Filtering Emails and sorting out spam. 
  • To add personalization features to the website
  • To identify unusual transactions in case of net bankings
  • To be your virtual assistant by recognizing the voice
  1. Helps In Data Mining

“Data Mining is the process of exploring large databases to find valuable information that solves business problems, reduces risks, and seeks new opportunities.”

This falls under the Machine Learning part of AI. From the information collected through various databases and the experience gained, ML tends to improve its algorithms, and as a result, we get more accurate results. 

  1.  Detects Fraud

Frauds are every company’s nightmare! No one wants to face these. But life is not a fairy tale, and fraud usually happens. If you own a financing business, an AI-integrated app is just for you. 

As mentioned above, AI collects various analyses and predicts fraud. This way, you can prevent fraud from happening or at least minimize the risk.  

How To Integrate AI In Mobile Applications?

After knowing the benefits, we know you are ready to integrate AI into your mobile applications, but how will you do it? 

The process of integrating AI in mobile apps is similar to incorporating any other app. Though, there can be challenges depending on the app’s complexity. You need to go through these six steps:

  1. Define Challenges

At the blog’s beginning, we learned that AI could help solve problems. And the first thing to do is identify the issues and implement AI to solve them. 

For example, if you want a more personalized experience, you can incorporate AI for recommendations. Before you build an app, be clear about which problem you want to solve with the AI app and only focus on that.  

  1. Analyze 

If you have an idea of what problems an AI app could solve, and if this app is for a wide range of users, you should check the market to see if other companies have apps with similar features, as well as research your competitors. Then, set some USPs that can give you an edge over your competitors. 

Another thing to analyze before commencing the app development process is data. Determine where your data will come from and how you will analyze it. You can take the help of some data analytic tools for this task. 

  1. Set Metrics And Goals To Measure 

See what different goals you want to achieve with the AI app. AI was implemented to solve problems and improve various processes. 

So, to track the progress, you need to set goals and metrics to know whether your app is providing value to your customers.

  1. Start Your App Development Process

It is one of the most essential AI mobile app development steps. For this, you require experienced developers and AI engineers who have knowledge and expertise in this field. 

Building an AI app in-house can prove to be too expensive. Partnering with a mobile app development agency for a custom AI app can be cost-effective and the right choice to gain maximum value out of the product. 

  1. APIs Are Not Enough

Your AI app needs to collect data from other sources and then it is necessary to implement APIs (Application Programming Interfaces). Still, along with this, you also need to add custom integration technologies. In short, the more advanced app you want, the more features you need to integrate along with simple APIs. 

  1. Monitor The Results

Setting metrics and goals is not enough, you also have to measure them to have more efficiency in the work. Monitor the results and implement changes if needed. 

Key Uses Of AI In Mobile Applications

Once it’s decided where you’ll be using AI features in your mobile applications, you can use them for different features to increase customer engagement levels and give them a personalized experience. Whether it’s an app for iOS or Android, AI will enhance the user experience, so here are a few examples of leveraging AI in your mobile application.

  1. Chat Automation

The competition in the mobile application market is tough, and you need to be smarter than your competitors to surpass them and be the unicorn in your field. 

And for that, you need to be available 24/7 for your clients, and hiring people will cost you more money. So instead, you can implement AI chatbots and make the conversation easier. (they don’t have mood swings too!)

  1. Digital Assistance

You can incorporate virtual assistance to identify voice and speech for your users to communicate easily with the app. And this feature comes in handy for virtually disabled people, as they can directly give commands to the app. 

  1. Security

One of the most important features to incorporate into a mobile application. You need a well-constructed security system if you often do net banking, online shopping or carry out financial transactions. This is where AI comes in. AI can identify potential cyber-attacks and prevent them. 

Furthermore, it can increase security by adding a biometric lock to your phone. 

  1. Predictive Analysis

Every business needs analytics reports to craft the upcoming business strategy. Here AI helps a lot, and AI collects the data and gains insights into customer behavior and locations to improve UX. After collecting data and insights, AI predicts your product and services’ upcoming challenges and profits. This helps businesses to improve their services.

  1. Object Detection

You can also add an image recognition feature to your mobile application. Artificial intelligence and image recognition help identify objects, faces, people, locations, and other relevant details.

Wrapping Up…Embracing AI Technology In Our Day To Day Life

You can find examples of AI everywhere. Many businesses are incorporating Artificial Intelligence in their mobile apps regardless of any field to earn more benefits. No matter which industry, you can find AI everywhere, AI in educational apps solves kids’ doubts about their homework. Or AI in retail to make your search even better.