Why Artificial Intelligence Has Become Such A Popular Choice For Mobile App Development

Artificial intelligence (AI) has already become a widely popular and trending technology encompassing every tech product including, of course, mobile apps. Mobile apps are increasingly getting the impact of AI-led innovations. AI in the context of mobile apps brought more scope of automation than ever before. Whether you want to create the mobile app from scratch or want to develop one using app builder platforms, you can always incorporate AI for innovative capabilities and features.

The AI influence on mobile apps covers a broader trajectory ranging from AI-based virtual assistants to intelligent chatbots to AI-powered search engine algorithms. The impact of AI has been too visible across a large number of mobile app use cases. No wonder, any leading mobile app development company these days cannot put aside the AI power for certain app features and functions.

Let’s have a look at some of the key ways AI is transforming mobile app development. 

Automated Reasoning

Analyzing user behaviour patterns to draw the most relevant insights that can be utilised further in customer communication and strategic decisions, is a great outcome of AI in mobile app development. This capability is also referred to as automated reasoning.

With this technique, a mobile app can apply logical reasoning and solve complex problems such as theorems, puzzles and equations. Yes, when this capability is optimised further, AI can even be used to make buying decisions in the stock market ensuring more accuracy than humans.

Face Recognition

AI-powered face recognition technology is widely used in the diagnosis of diseases, testing patients and in everyday tasks such as authenticating an entrant at the gate of a high-security zone. No wonder, it has already been used in countless mobile apps for user authentication.

 Face recognition is now used as a mobile app feature to recognize and prevent frauds. It has already replaced passwords and patterns as authentication measures.

Personalized Recommendations and Content

Personalised content and product recommendations became popular across entertainment apps and mobile commerce apps. It is highly effective to engage the audience instantly and to push sales in a meaningful manner. AI by simply knowing the likes and dislikes of any target audience, can help businesses make recommendations and content strategy that are more likely to engage people faster.

Netflix offers a great example of how AI-powered content recommendations and listing can engage users and satisfactorily deliver what they are searching for. Similarly, Amazon based on previous purchases, browsing history and perceived preferences make recommendations that are more likely to get traction from customers.

AI-based voice assistants

A major impact of AI on mobile app development can be easily grasped through voice assistants such as Apple Siri, Amazon Alexa, Google Assistant, and several others. Some of these voice assistants apart from allowing voice interactions on mobile devices also allow the same on other connected devices. In this regard, Amazon Alexa can be the ideal example.

Mobile apps and voice interactions together will offer a great impact on the app user experience. Apart from making user interactions easier, voice control will help users do more with their mobile apps than ever before. Through voice interactions, users will be able to carry out a lot more activities than usual. 

Improving search function

The search function continues to be more dynamic and powerful thanks to the AI-driven voice and visual search capabilities. Traditional text searches have already become outdated now. AI-powered voice and image recognition technologies have allowed device manufacturers and app developers an innovative way to ensure quicker search response with more accuracy and precision in search results.

User optimised ads

While traditional ads are losing lustre and traction just because engaging sponsored content on digital and social media are getting more traction, ad makers are adopting new technologies like AI to publish more palatable ads optimised for the target audience.

Artificial intelligence (AI) now can help an app to incorporate in-app ads to show the right ads for the most suitable audience in the most suitable moment. Based on user preferences, specific user contexts and insights based on user demographics ads can be created for a specific audience and shown in the right moment to the right audience to ensure better engagement.

Security enhancements

Machine learning, a subset of AI technology, has already made applications more capable of streamlining the user authentication process by using audiovisual data. Involving techniques like voice recognition and biometric authentication, an app now can completely prevent intrusions and identity theft. Such features have particularly benefited fintech apps that need robust in-app security.

Image recognition

AI-powered image recognition has not only enhanced the accuracy of search engine results, but this AI technique has also made its impact on other facets of the mobile app as well. Image recognition coupled up with AI-powered data analysis can help to identify license plates and can also diagnose diseases. Some healthcare apps have already started using this technology to detect the vision problems experienced by people.

Predictive User analysis

The emergence of artificial intelligence has particularly benefited marketers and business apps who can now convert business better thanks to data-driven insights and AI-powered predictive user behaviour analysis. AI can easily reveal the actual customer intent and accordingly can make suggestions to push sales. Machine learning further augments this capability by profiling every app user based upon his historical in-app behaviour.


AI is transforming the way app users now engage with mobile apps. Mobile apps paired with AI can open the lock gate of possibilities for creativity and innovation in the everyday user context of mobile apps. With the impact becoming too visible on multiple fronts, AI is destined to boast of a robust ecosystem comprising a massive pool of data from different facets of the user interactions. The journey of AI for mobile apps has just begun. It really has a long way to go.

Author Bio :

Vincent Martinot is a Managing Director of EurecaApps a Mobile App Development Company in Belgium providing quality service in the mobile app development domain. He also shares his knowledge of mobile development, new technology & business development by contributing to different online platforms.

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