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How Artificial Intelligence Is Impacting Mobile App Development

Mobile apps and user experience has revolutionized with the integration of Artificial Intelligence, bringing you apps of the future.

AI (Artificial Intelligence) is the futuristic technology that is expected to transform the world into something ‘The Jetsons’ family were living in – with Rosie the Robot Maid to help you in your everyday chores and communicate smartly, like a regular human. Imaginable, right? And maybe, achievable at some point in time.

Ai powered mobile apps
Via Whipsaw

However, for now, AI hasn’t transcended that far but far enough to boost many businesses through its various applications and one sector that is surely reaping the benefits of AI implementation is the robust mobile app development world.

According to Statista, the global Artificial Intelligence market is projected to exceed $89 billion by the year 2025. While the AI software market worldwide revenue exceeded 9.5B USD in 2018.

So you can imagine how important it has become for a software development company to offer services that include seamless AI implementations. Since businesses of today realize the immense benefits AI holds for their success in terms of customer-retention, top-notch customer experience, increased engagement, high ROI, and much more. In a nutshell, AI is enhancing the UX by a large margin.

Ai implementation in Mobile apps
Via The Next Web

Hence, developers are not taking a backseat and keeping themselves ahead of the game by leveraging AI technologies into their practices.

Let’s see in which ways AI is changing the course of the mobile app development industry on a global scale.

1) Aiding in Personalized Content

Businesses are banking big on providing a personalized experience to their consumer-base, and AI has been facilitating this intention to perfection.

Personalization in mobile apps can be explained as providing users with customized content on the basis of their interactions with your app – which could be their browsing habits, purchase history, and more.

This AI personalization technique, coupled with Big Data, has been proving to be most beneficial in the retail business.

How to add Ai to your app
Via Single Grain

Consider yourself browsing certain types of apparel and with your data. AI technology can learn your preferences and display content accordingly. This will not only boost users’ interest in the app, but it is also most likely to drive higher quality engagement and ultimately resulting in more conversion.

Another great usage of the predictive AI algorithm is detecting suspicious behavior by comparing it against the behavioral user pattern and initiate an alert to the user. Its best example would be credit/debit card usage.

2) Facial Recognition Technology

AI face recognition technology is the next step towards mobile app face locking and unlocking system. This will make passwords a thing of the past. Face recognition technology is already in use in detecting fraud and tracking of medication consumption. In addition to this, it is serving as a security measure in public places, integrated into the surveillance system.

how to use AI in mobile apps
Via Deccan Herald

It is not too long when facial recognition becomes an integral feature in most mobile apps. Considering how rapidly the mobile hardware sector is advancing and supporting under-display fingerprint sensor and Face ID in iPhone X.

3) Facilitating Voice-Based Commands

With the dawn of Siri, Alexa, and Google Assitant, voice-based searches, queries, and controlling IoT devices through voice commands are more in demand than ever.

how to integrate AI in apps
Via MakeUseOf

Consumer behavior is more or less dictating the needed features in the upcoming mobile apps of the future. To solidify this demand, research by ComScore informs that nearly 200 billion searches will be done through voice assistants in 2020.

Hence, mobile apps that have voice-based smart searches and other features enabled will have better chances with the targeted market.

3) Powerful Algorithm Predicting Replies

AI technology in an app makes it smart enough to understand the message sent by the user at the back-end, analyze it, and send a reply accordingly.

A great example of predictive replies is Gmail. Google integrated machine learning to analyze received emails and generate predictive responses.

how to add ai in your app
Via Tech Advisor

This helps apps to cater to their customer’s with fast replies either through predictive text or through chatbots. What more is that as these chatbots are analyzing human interaction with them, the experience overall from them feels humanized and less robotic.

So AI can help brands cater to their in-app user-interactions fastly and accurately.

4) User Data Extraction and Analyzation

As discussed above, AI has the ability to gather data about various user-metrics that can help developers perfect their mobile apps. Allowing them to bring a better and personalized user experience. In addition to the many advantages of AI, the user data can give an idea about another product. This new software solution can solve a recurrent problem of the current user-base while generating a new stream of revenue for the owners.

5) Impressive Reasoning Ability

AI-powered mobile apps can take the necessary data, critically analyze it, and make decisions. These decisions are backed by competitive reasoning that includes weighing benefits and risks.

Take the UBER AI App, for example – the smart app suggests the fastest route according to passenger’s location. How was it possible for an app to predict the best route? By processing previous travel data of drivers and passengers who have taken various routes to reach the same destination.

Ai in mobile app development
Via Forbes

Now, with AI having the power to make optimal decisions on its own, developers can create an intelligent app according to the client’s requirements.

Mobile Apps With AI Technology Are the Future

How to integrate AI in App
Via Space-O Canada

With intense competition and increased user-demands, AI mobile app technology is the solution to stay ahead of the game; by providing personalized user experiences and immediate catering to their queries through AI chatbots. AI technology has affected the eCommerce and retail sectors the most. How? They are maximizing on user-engagement and providing exclusive and tailored services by analyzing user data.

Amazon is a perfect example of one of the giant retailers that have successfully reaped the benefits of AI; making Amazon app a winning product and Amazon itself as a top-runner.

Businesses were already shifting from existing solely on web apps to mobile apps, understanding the consumer behavior that largely favors mobile app versions. Now, they are tapping into the prowess of AI. As they know the edge this self-learning technology provides them within the saturated marketplace.

Wrapping Up

So the modern-day mobile app development world is pivoting on AI technology. Not only because of the increasing demand for smart apps but also because AI is the future already affecting many domains; be it transportation, manufacturing, healthcare, education, and media – while continuously affecting many more.

In order to develop these AI optimized apps, software development companies are acquiring the necessary resources in terms of updated technology and professionals – who can continue to push the boundaries of AI, to produce the best product.

Muniza Ashraf

Muniza Ashraf is a software engineer turned technical writer with extensive experience in various niches, especially all-things-tech-related. If she isn’t writing, she is researching to bring information in the best way possible. Currently, she is associated with KoderLabs, a custom software development company in Dallas.

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