Face and voice recognition and biometrics are just a few of the exciting features you will find in each app.
AI and Machine Learning have always played a significant role in mobile app development. Siri, Alexa and Google Assistance come to mind when you think about AI. However, these apps are not the only ones that use AI.
AI can also be used in mobile apps to enhance security, detect objects, or perform predictive analyses. The blog below will explore the hows and whys of AI within the mobile application development industry. Keep up to date and try to learn everything you can.
The AI (An Intelligence created by Humans) is a computerized version of the brain which can perceive information, synthesize it, then give its opinion and help us solve our problems.
Why should businesses integrate artificial intelligence into their mobile apps?
You can make more money. How? Statista reports that the market for AI-powered mobile apps is growing exponentially. It is estimated to increase by 126 Billion U.S. dollars The end of the year 2025.
There are many other reasons for integrating AI into mobile applications.
- Customize Your Own Personalized Wallet
People today want a more personal experience through their mobile apps. AI-integrated applications for mobile devices allow you to achieve the same, and provide a great user experience. This helps you keep customers.
Intelligent algorithms collect data and make recommendations based on each individual user’s behavior in the application and via social media.
AI is a key component in improving customer experience in the online retail industry.
Amazon will, for example, give discounts if you look up baby products. The system also offers customized solutions for their problems and attracts users.
- Neural networks can help you with your problems
AI cannot work alone. Machine Learning, one of AI’s most exciting applications, is a must-have.
Machine Learning (ML) is the process of using algorithms to enhance an experience over time.
Machine Learning can be a great choice to accurately predict future situations and recognize voices.
The neural network, which uses data collected from different sources to solve problems, is used for this. Machine Learning is used in the following ways:
- Spam and unwanted emails can be sorted out by filtering email.
- Add personalization to your website
- Net banking transactions: How to identify suspicious activity
- Your virtual assistant can recognize your voice and become your personal assistant
- Data Mining: Helps
Data mining is a process that involves exploring databases in order to discover valuable information. This can be used to solve business problems and reduce risks. It also seeks out new opportunities.
Machine Learning is a part of AI. ML improves its algorithms based on the data collected from various databases, as well as the experiences gained.
- Fraud detection software
Frauds can be a nightmare for any company! Nobody wants to deal with these. Life isn’t a fantasy, so fraud happens. An AI-integrated mobile app will be perfect for your financing company.
AI, as mentioned earlier, collects and analyzes data to predict fraud. By doing so, fraud can be prevented or the risk minimized.
How to integrate AI in mobile applications?
You’re ready to incorporate AI into mobile apps, but what will it look like?
It is the same process as integrating any app. There can be some challenges, depending on how complex the app is. Follow these six simple steps.
- Define Challenges
We learned at the beginning of this blog that AI can help us solve problems. First, identify issues to be solved and then implement AI.
If you’re looking for a personalized experience, AI can be used to make recommendations. Prior to building your app, you should be very clear as to what problem the AI application will solve.
- Analysis
Research your competition to find out if they offer similar apps. If you know what problem an AI app can solve and that it is for many users, then you need to check on the market. Set some USPs to give your business an advantage over competitors.
Data is another thing you should analyze before starting the process of app development. Decide where you’ll get your data and how to analyze it. This task can be done with the aid of data analytics tools.
- Setting Metrics and goals to measure
AI App allows you to set goals and track your progress. AI is used to improve processes and solve various problems.
You need metrics and goals to measure the value of your app to customers.
- Start Your App Development Process
This is a crucial step in the development of AI-powered mobile apps. This requires experienced AI engineers and developers who are experts in this area.
It can be expensive to build an AI application in-house. It can be more cost effective to partner with an app development company for the creation of a custom AI application.
- The APIs are Not Enough
It is important to use APIs to integrate data into your AI application. You will also have to implement custom integration technology. Shortly, the higher the level of app development you desire, the larger the list of APIs and features required to be integrated.
- Check the results
You must also measure your metrics to increase the efficiency of work. Monitoring the results is important. If necessary, make changes.
AI in Mobile Applications: Key Applications
You can then use AI in different ways to engage customers and provide a more personalized experience. AI can enhance your app’s user experience whether it is for iOS or Android. Here are some examples.
- Chat Automatism
You need to have a competitive edge in order to beat your rivals and become the unicorn of your industry.
Hiring people to do this will increase your costs. Instead, AI chatbots can be used to make communication easier. They don’t even have mood swings!
- Digital Assistance
This feature allows users to easily communicate with your app by identifying their voice. It is also useful for those who are virtualy disabled, because they can direct their commands into the app.
- Security
A mobile app should have a security system. If you do a lot of online banking, shopping, or financial transactions then you need to have a robust security system. AI is the answer. AI is able to identify and stop cyber attacks.
To increase the security of your device, you can add a lock that is biometric.
- Predictive analysis
Each business requires analytics reports in order to develop the future business strategy. AI can be very helpful in this case. AI gathers data, gains insight into the customer’s behavior and location to enhance UX. AI can predict future challenges for your products and services based on data collected and insight gained. Businesses can improve services by using this technology.
- Object Detection
Add image recognition to your application. Artificial intelligence, image recognition, and location-based information can be used to identify people, objects, and locations.
Wrapping Up…Embracing AI Technology In Our Day To Day Life
AI can be found everywhere. Artificial Intelligence (AI) is used by many companies in mobile applications, regardless of the field. AI is everywhere. Educational apps can help kids with their homework. Or use AI for retailing to improve your shopping.