App Development

5 Ways In Which Artificial Intelligence Empowers Mobile App Development

Vibha D | June 28, 2019
5 Ways In Which Artificial Intelligence Empowers Mobile App Development

The last few years have been eventful for the mobility landscape, with emerging technologies making their way into the mainstream development landscape. Artificial Intelligence (AI) is one of the technologies that have made a significant impact on mobile apps while playing a key role in their evolution. Basically, AI empowers machines with the capabilities of interacting and learning as human beings do. By integrating this powerful technology in mobile apps, businesses can unlock new opportunities in more than one way. From getting the basic tasks done to rendering productivity and replicating human decision-making, AI can enable app with capabilities that are beyond imagination. No wonder, almost every mobile app development company is experiencing a rapid increase in demand for AI-based mobile apps. If you want to enable your business app with this wonderful technology, you need to check out your options first. Here are 5 ways in which AI can deliver incredible power for mobile apps.

User Analysis and Segmentation

Undoubtedly, user analysis on the basis of their search and navigation behavior is the most important application of AI in mobile apps. The technology enables the app to collect data related to user behavior, demographics and preferences, analyze it, and gather meaningful insights from it. Further, the analytical insights can be used to build a user persona and segment them into relevant categories as well. The entire information can be used for coming up with targeted marketing strategies that are focused on winning new customers and retaining the existing ones.


Whether you approach providers for iPhone or Android app development services in Noida, a chatbot feature is something that they will definitely suggest for the app. This AI-powered virtual assistant can provide a live chat interface where it can converse with the customers and provide them virtual support if needed. It uses the Natural Language Processing (NLP) technology to understand human language and generates answers that are relevant to the queries keyed in by the app users. Consequently, chatbots can help businesses to improve customer interactions as well as automate the customer support function.

Image/Voice Recognition

Another application of AI for mobile apps is for image and voice recognition. The technology is enhancing user experience manifold by enabling them to search via images or voice rather than being confined to conventional keyword searches. Voice assistants like Google Assistant and Amazon Alexa, for instance, are capable of understanding the searches spoken in natural language and finding the matching products for the users. Similarly, AI also fulfills the image recognition functionality and helps the buyers to find and locate products that replicate the images they share with the app.

App Security

AI technology also addresses the critical concern of app security for developers and businesses. With its parallel technologies such as Machine Learning and Predictive Analysis, AI can be leveraged to make predictions regarding the security and vulnerability levels of the app. Additionally, it keeps an eye on the behavior pattern of the user and issues alerts on detecting anything unusual or suspicious. Furthermore, it can play a key role in strengthening the app security by detecting its weaknesses and giving recommendations for rectifying them.

Gamification and Enhanced Experiences

A quarter of the app users seldom return to the app subsequently because they fail to find anything that is worth coming back for. Gamification and better onboarding and app experiences are being used to address this retention challenge. By incorporating AI into the iPhone and Android app development process, design and development professionals can actually understand the human psychology and find out the design elements and features that have the power to bring the users back. For example, the app onboarding experience can be simplified by enabling the app to memorize the user details so that they need not enter them every time they log in.

Conclusion The use of AI technology in app scenario is advancing at a rapid pace and the future holds a lot in store for businesses. Therefore, it becomes imperative for businesses to have it integrated into their mobile apps in the coming time, whether it is about developing new ones or improving the existing ones. The organizations that want to maximize their reach and target their potential customers in a more efficient and effective way should not ignore it at any cost.