Do you know, as per a report, the market of ML will grow up to $5,537 million in 2023?
Mobile apps bring convenience and ease to the lives of many people. They allow us to make payments, order food, and even find love. But what if you could take your mobile app experience to the next level? The answer is by integrating Artificial Intelligence and Machine Learning into your mobile app.
This blog post will outline how these two technologies can help ensure that your mobile apps are effective!
So, let’s first understand how AI and ML can help you with mobile applications.
Highlights of Contents
How Artificial Intelligence Can Help You with Your Mobile App?
AI is used to identify patterns and predict future outcomes. It also helps to reduce the human input needed for data processing, which saves a lot of time. So, what does it mean? Well, it means by using AI, you will never need an admin person again.
Furthermore, it allows developers to create better user interfaces, which will make your app more user-friendly.
How Machine Learning Can Help You with Your Mobile App?
ML is used to teach a system how to do a specific task or solve an issue that may arise in the future. This technology also improves the features and functions of apps by analyzing data from users. You can use ML to make better predictions about what the user wants and make a more accurate prediction of their future behavior.
What will be the Combination of AI and ML Deliver for Mobile Apps?
The combination of AI and ML will deliver a better experience for the user. It will allow the user to have a more personalized app with content tailored to their needs. Moreover, According to Statista, The global artificial intelligence (AI) software market will reach around 126 billion U.S. dollars by 2025.
AI and ML will also make predictions on the user’s future behavior, which will make them happier with your app. Thus, your app will make predictions based on user past clicks, making it easier for users to navigate and find what they are looking for.
After discussing the essence of AI and ML for mobile apps, let’s discuss the benefits of integrating AI and ML.
Benefits of Integrating AI and ML into Mobile App
Source: https://financesonline.com/machine-learning-statistics/
1. Personalization
Integrating artificial intelligence (AI) and machine learning (ML) into your mobile apps is a great way to increase the effectiveness of your app. One of the best ways that these two technologies can help your app is by personalizing it.
AI and ML have made it possible for companies to use algorithms that can analyze various sources of information, from social media activities to credit ratings and provide recommendations. Moreover, machine learning can help you learn the following essential points for your business.
- Who are your consumers?
- What do they want?
- What can they afford?
- What words do they use to speak about various products?
2. Advanced search
Through the AI and Machine Learning-based app development process, you will get an app that lets you optimize search options in your mobile apps. It allows users to find what they want easier as the algorithms learn from different queries put by customers and prioritize results accordingly.
3. Predicting user behavior
The most significant advantage of AI-based machine learning apps is that they can better understand user preferences and patterns by looking at age, gender, location, and search histories. This information will be vital in improving the effectiveness of your application or marketing efforts.
4. Improved security level
Artificial intelligence is being used in mobile apps to streamline and secure app authentication through features such as image recognition or audio recognition.
ML also helps you establish access rights for your customers by making it easy to set up biometric data, restrict specific permissions from different users, and create personalized profiles according to the user’s preferences.
5. User engagement
The AI development services are a great way to offer balanced customer support and features. These few apps also provide small incentives for the customers, which will help them use it consistently, and at any hour, they can talk with chatty AI assistants who hold conversations.
6. Fraud detection
Source: https://financesonline.com/machine-learning-statistics/
The cases of fraud are a grave concern for each industry, particularly banking and finance. ML utilizes data analysis to limit loan defaults, credit card fraud, and more to solve this problem.
Moreover, it helps you determine an individual’s capability to take care of a loan and the potential risk involved when giving them one.
7. Object and facial recognition
Facial recognition is the most remarkable and latest feature for mobile apps. Facial recognition can help improve the security of your application while additionally making it faster to log in. It also helps in securing data from unknown sources.
After discussing the benefits of AI and ML, now it’s high time to discuss how to integrate these two technologies into your mobile app.
How to Implement AI and ML in a Mobile App?
- Identify the issue you want to solve through AI
You can apply AI and ML to your mobile app in various ways, each with its purpose. For example, some problems like recommendation systems or customer service may benefit from this technology.
So, the first step is knowing the main areas where AI and ML might help you resolve a problem. Then decide on that part of your app which needs it most and gather data from that field accordingly.
- Recognize your data
Before you start developing AI and ML apps, it’s essential to know where to collect the data. While there are many platforms available from which one can gain information, obtaining data and enhancing your knowledge would help develop an efficient app.
Moreover, for the refinements of the data, always ensure the data you want to feed in your AI module is genuinely informative, original, and clean.
- Understand that APIs are not enough
When integrating AI in an app, it’s essential to know that APIs alone will not create an intelligent model. What does it mean? Well, It means the more intelligent model you seek, the harder you need to work towards data modeling – roughly that APIs alone cannot solve.
However, these weaker models are sufficient for converting your apps into AI-based applications.
- Decide upon measures as per which your AI must work
If you want to have a successful AI implementation in your mobile app, you must first decide on the project’s specific aim. You can not implement ML or Artificial Intelligence features into your app until you know how to measure its efficacy; else, the app will not yield good results.
So, to have an efficient app, you must know what you want out of that particular feature before implementing it.
- Deploy Data Scientists
At last, you need to deploy a data scientist to your project. You can hire data scientists on payroll or outsource from any mobile app development company. With their help, all of your needs in terms of management and refining information will be taken care of, providing you everything needed for ML and AI success.
Also Read: How is Artificial Intelligence Moulding Up Latest eCommerce?
Summing Up!
As discussed above, AI and ML are both compelling technologies to make your app much more effective. Integrating AI and ML will bring customization and engagement features with high-quality data to increase customer satisfaction.
So, integrating AI and ML in your app is a good idea, but it will be better to know what data points are to be collected before adding them into an algorithm or model. Knowing this before will help save time as well as avoid wastage of money on unnecessary things.
Frequently Asked Questions
Can I use AI in an Android app?
Of Course, Yes, we can use AI in Android apps. Leading apps like Siri and Google Assistant are already making use of AI.
How is AI used in mobile apps?
AI is being used to make mobile apps more personal and custom-made. Everything from voice assistants like Siri and Alexa, which can analyze voice patterns based on what they’ve heard before, to smartphones that can recognize the people in front of them when they do a face scan, is part of AI.
It is also used to help users with a range of tasks, from remembering and suggesting important dates like birthdays, tracking fitness progress, scanning the road for accidents or other dangers, and even helping people find their way home.
How is artificial intelligence implemented in mobile apps?
There are three following ways to incorporate the power of Artificial Intelligence in mobile apps to make the application more efficient, sound, and intelligent.
- Reasoning
Artificial intelligence is now able to beat humans at chess and optimize Uber routes. This phenomenon makes artificial intelligence more advanced than ever before, thanks to the development of automated reasoning that computers can use for solving problems.
So, the reasoning part deals with getting the computers to solve the issues through the implementation of reasoning.
- Study behavior patterns
The AI system can learn about a user’s habits by observing their data patterns. If they notice anything suspicious in the data, it will stop them from getting scammed and save your information. So, it deals with the behavior patterns of the users and protects the data from stealing.
- Recommendation
Are you familiar with Amazon, Flipkart, or Netflix? You know they use AI integration to put the list of choices before you based on your past purchases, movies, etc.
So, in this way, AI is the most used method to recommend products, movies, shows, etc.
