ai artificial intelligence mobile app development [shutterstock: 329959148, lassedesignen]
[shutterstock: 329959148, lassedesignen]
Artificial Intelligence Blog

How Artificial Intelligence Is Changing The Future Of Mobile App Development

Artificial intelligence has been getting a lot of press lately. It is no longer the realm of science fiction stories - we now experience a wide array of AI systems almost every day.

Whether you are a professional in digital strategy services or the average consumer, you probably see that there is a lot of potential for machines that can simulate human intelligence. When you look at mobile app development, you see an industry that is currently experiencing big changes as the result of AI. It is not only changing the way developers work, it is helping to deliver better apps for consumers. 

While we are still at the beginning of the AI revolution in mobile app development, we can already see significant changes. The following are some of the ways AI is changing the future of mobile app development.

Automation in development 

App development is a field that requires a lot of skill. With that said, there are also many repetitive tasks and processes that take up a lot of time. With AI, development teams can save time and money by automating many of these tasks. 

Beyond saving time and money, automation in app development could help to deliver better consistency while also eliminating errors. While many of these tasks are simple, the tedious nature of doing them can lead to mistakes on the part of human programmers. With a machine doing this work, most of these mistakes can be eliminated.

Understanding the user

AI systems can be trained to pick up on cues from the user of an app. By analyzing the behavior and actions of an app user, artificial intelligence could detect patterns that could allow it to better respond to the needs of the user. In some cases, AI might be able to find solutions for problems the user didn’t even know they had.

AI chatbots

It isn’t always possible to have a human standing by to provide assistance. This can be a problem for businesses because the customer might go somewhere else if they don’t get the help they need. With chatbots, you have an effective solution to this problem. Modern chatbots are much more capable than their counterparts from just a few years ago, and they can be used to handle everything from customer service issues to acting as a virtual sales assistant. 


Personalization can be one of the most effective tools for increasing customer satisfaction and boosting sales. With modern AI, developers can take personalization to the next level. Unlike old personalization systems that had the user select a bunch of preferences, AI can learn from the behavior of users to create a better personalized experience.

One obvious way it could do this is with personalized recommendations. The AI would see that users with similar shopping and activity patterns buy the same things, and this could inform better recommendations. It could also deliver more relevant content to move a customer closer to a sale or offer discounts and sales that are targeted to the individual. 

Internet of Things

The Internet of Things (IoT) refers to the many devices that we now have connected to the internet. Beyond your mobile phone, these could include fitness trackers, your TV, kitchen appliances, and even your car. These devices collect data on user activity which can then be analyzed to gain powerful insights. 

Furthermore, IoT and AI could work together to create better experiences for the consumer. You could create apps that work with a digital assistant or connect with the TV. AI could also work with a number of sensors out in the broader world to provide location-based experiences. 

There is no doubt that artificial intelligence plays a major role in the app development industry. It not only opens up a wide array of opportunities for developers, but it is often the key to building apps that serve users better.

About the author

Sarah Donnelly, Blue Label Labs

Sarah Donnelly is Community Outreach Coordinator and Content Lead at Blue Label Labs.


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  • This article is worth sharing, so inspiring and full of information. Thankyou for sharing this!!

  • Great insight, Sarah! In my opinion, While there are many pinpointed solutions that impact one or two steps in the hiring process, disparate systems can pose problems for enterprises, such as time-consuming, inefficient data entry and reconciliation processes. It’s more effective to have a seamless experience. Inefficiencies can lead to user dissatisfaction for all parties involved. And while some organizations do try to integrate disparate systems themselves, the performance is far from optimal and adds major overhead. Pimonk wanted to enable the true digitization of hiring and provide a platform that could be integrated with any of the leading Applicant Tracking Systems. I think that’s the kind of solution both sides want — the candidates as well as the hiring teams.

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