Artificial intelligence (AI) and machine learning (ML) have been instrumental in propelling businesses forward. Recent research from Gartner shows that the number of companies that have implemented some form of AI technology into their workflow increased by 270 percent from 2015 to 2019, with numbers expected keep growing in the foreseeable future.
Many industries have implemented AI successfully, including healthcare, manufacturing, education, business, and software development. One area that has grown and evolved significantly with the help of AI is mobile app development.

How Does AI Work?

AI-powered machines act like humans, though they do not have feelings and emotions. They need to be fed data from humans to learn from previous experiences to make accurate predictions. The more they learn, i.e., the more data they are provided, the more precise and valuable their predictions will be.
People often think of human-like robots that can walk and talk when they hear about AI, but the technology can take many forms. Speech recognition technology, like Siri or Alexa, is one of the more common forms of AI that people are familiar with. However, there are several ways that AI and ML are impacting app development to build apps faster and create a better user experience.

How AI Impacts Mobile App Development

AI can be helpful during all stages of mobile app development. Here’s a quick rundown of some of the ways developers use AI during the many stages of development.

The build phase
During the coding phase of mobile app development, AI can take over the tedious process of repeating lines of code that would take human coders hundreds of hours to complete. AI can complete this task in a matter of minutes, speeding up the process of app development significantly.

Testing
AI is also helpful during the testing phase. Instead of manually testing an app, developers can use AI to monitor user engagement, check functionality, and suggest changes. Then, developers can devote their time to fixing bugs and making improvements instead of running tests.

User engagement
An app is only as successful as its engagement with users. AI can analyze user behavior to provide insights about how users engage with the app to inform developers of what changes they should implement to make their app more beneficial.

Personalization
AI can be used to personalize apps based on how each user interacts with them. AI can fully customize an app for a user by analyzing behavioral patterns, leading to higher engagement and a better user experience.
Keep users connected with their other devices AI can interact with other smart devices, including anything connected to the Internet of Things (IoT). Mobile apps can use AI to integrate with IoT devices. As the AI-enabled device learns the user’s behavioral patterns, it can start to operate on its own to give users exactly what they need when they need it.

We Can Help You Build the Next Great AI-Powered App

At StackBench, we know how important it is for your business to build an app quickly without sacrificing quality or user experience. Our team of experts can work with you to develop an app that will benefit your business and your customers.
Schedule a free consultation to discuss your project and learn how we can help you build an AI-enabled app.

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