Top 8 Ways to Integrate AI in Mobile Apps

You’ve just created an app that is loved by millions, but now competitors are using AI in mobile app development to get ahead, making your app not so interesting. Are you relating to the issue? As a new age app development company or startup CTO, you must feel continuous pressure to bring something new, but are also concerned about what is relevant?

Luckily, you’re not alone in this. Stakeholders know AI in mobile apps is the future, but are struggling to figure out: “What features are loved by people?” “Do I need to change my tech-stack?” “Is it going to cost a lot?”

One thing we can assure: adding an artificial intelligence mobile app doesn’t have to be extensive or expensive. This blog will give you a roadmap for integrating AI in Mobile Apps. Let’s read some statistics:

AI in the mobile apps market is projected to reach approximately $249.8 billion by 2033 (from $16.7 billion in 2023) at a CAGR of 33.7%, and another source projects it to reach $354.09 billion by 2034 with a 32.5% CAGR.
An estimated 230 million people worldwide currently use AI in mobile apps, and 66% of businesses plan to invest in AI to enhance their mobile app experiences.

Through the end of this blog, you’ll get a set framework for making smart AI integration in mobile app development. Read the blog to transform through custom AI app development solutions that will benefit everybody. Let’s begin.

What is AI Integration?

AI integration is nothing but simply embedding AI into solutions, applications, or processes to boost functionality and features. It’s about adding this to current solutions, not creating separate AI mobile applications.

It equips your app with special abilities such as understanding text and speech, pictures, and creating solutions. Mostly, AI in app development runs through the APIs. These APIs are curated by the artificial intelligence mobile app development company.

Top 8 Ways to Integrate AI in Mobile Apps

1. AI-Powered Personal Assistant

In today’s day and age, AI-powered voice assistants like Siri, Alexa, and Google have become the most used feature in mobile devices. Usually, people give commands for setting reminders, calling people, or setting appointments for convenience. Investing in AI-powered personal assistants can empower companies to boost user engagement, better management of operations, and stay ahead of the competition.

2. AI for Dietary Tracking

People on a mass level are adopting AI-based health and fitness apps. So, if you’re a stakeholder in the health and wellness industry, you should invest in AI integration for on-demand apps to provide services like customized workout plans, nutrition tracking, video consulting, and real-time feedback from certified trainers and coaches. There are various AI-powered fitness apps in the market to take inspiration from or even create clone apps by adding a few features of your choice.

For instance, Strava uses AI to collect and break down the data from user activities like runs, rides, and walks to give insights about their workout, assisting them in understanding their performance and progress so far. There is another fitness AI mobile app named MyFitnessPal that leverages AI for giving nutrition and calorie tracking, giving customised dietary advice as per the user’s eating habits.

3. Predictive Analytics

Another amazing way to integrate AI mobile app development is to give an edge to predictive analytics. Predictive analytics works on the principles of collecting large amounts of user data, such as what they look at on the internet, behavior on the app, location data, and their interaction on other sites. Once done, they use machine learning algorithms to find out trends that would not be seen otherwise.

4. Personalization

AI-based mobile applications understand what customers want and their particular preferences, thereby helping you to present what is required. With this feature, you can observe the real-time information about users and give personalized solutions they are looking for. One of the popular examples is Infichat is an AI-powered shopping chatbot that helps customers with their shopping searches and finding products as per their requirements or description. Users can have conversations related to the descriptions, sizes, and colors of the product.

5. Language Translation

Translating a language was one of the most noble and highly rewarded skills. Today, Kudos to the AI development for mobile platforms. Language is no longer a barrier in the global market. There are advanced apps like Google Translate, DeepL that translate and communicate in numerous languages in a zap. This feature is heavily benefiting the industry and people who are in the travel, education, or communication sectors, particularly for users who are not natives of a particular place.

6. Advanced AI Solutions for Security

With cyber threats growing on another level, standard security measures are just not enough. Today’s day and age requires AI-powered security that does real-time threat analysis, abnormality detection, and monitors user behaviour to identify and stop threats before they happen. Financial apps, e-commerce apps, and healthcare applications are already working with blockchain and AI to look for misleading transactions, find unusual behavior, and stop unauthorized access. Not only can this be done through AI one can also find suspicious login, phishing scams, pretexting, and zero-day exploits faster than the usual security systems, combating the financial losses and data theft.

7. Intelligent Automation

AI is amazing in handling repetitive tasks so that developers and users can save time and focus on productive things. AI solutions for mobile apps are capable of automating tasks like classification, answering general queries, and filling forms. Considering Power Automate comes from the belt of Microsoft tools, it makes your life easy while developing streamlined workflows for 350+ apps and services with an easy-to-use interface. Among the various features few stand out. (AI)-powered chatbots, centralized dashboards for easy management. Whereas app Moveworks’ conversational AI assistant is dedicatedly to helping employees with tech issues from start to finish.

8. Face recognition

Face recognition powered with Artificial Intelligence(AI) works on the algorithms of computer vision technology that work to recognise faces or biometrics such as fingerprints. The technology is prevailing and continuing to grow in various applications used for unlocking a smartphone, opening doors, government ID authentication, enhancing security, and so on.

Future of AI in App Development

Artificial Intelligence has taken the front seat in mobile app development and is reaping benefits for the users. Apps are no longer limited to your phone; they’re digital intelligent companions that actually make your life easy, offer user personalisation, and boost user engagement through utility. Instead of one-size-fits-all solutions, the future would revolve around giving recommendations, better execution of tasks, and layouts explicitly designed for the users.

Conclusion

Whether you’re planning to take mobile app development in USA or somewhere else, understanding and leveraging the power of AI will surely give your apps an added advantage.

Understand, AI is not about taking the place of human touch but making it better. The more you can infuse AI’s efficiency with human intellect, the more likely you will be to develop mobile apps that truly help users.