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Home General App

Artificial Intelligence is Taking Over Android App Development

Contributor by Contributor
May 27, 2021
in App, Artificial Intelligence
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Many of the technologies of today seemed like they were far off in the future at the beginning of the century. Most people were not thinking of smartphones or home automation back in 2001. 

Another technology that has really come a long way is artificial intelligence. It goes unseen by most consumers, but AI is steadily taking on an ever-growing role in the operations of businesses and in our everyday lives. Just to get an idea of how big it is, consider the fact that IDC predicts the global market for AI to reach $327.5 billion in 2021 and forecasts the market to exceed half a trillion dollars by 2024. 

Android app development is one industry in which AI has a lot of potential. Artificial intelligence has the potential to unlock new features to make apps better and to make systems smarter to provide a better user experience. 

While it might not be among the most discussed AI trends, AI in app development is having a huge impact. Read on to see some of the ways AI is changing Android app development.

While it might not be among the most discussed AI trends, AI in app development is having a huge impact. Read on to see some of the ways AI is changing Android app development. #AI Share on X

Google Pushing AI

The use of AI in apps is not new. Mobile apps have been using simpler forms of AI since the release of the first smartphones on the market. What has changed is the capabilities of AI and the way these smarter systems have started to play a larger role for businesses and in the lives of consumers.

In recognition of these facts, Google announced in 2017 that it was shifting from being mobile-first to AI-first. This means that mobile devices would be one part of a larger AI ecosystem. To support this change, Google has worked to develop AI technologies that can work with mobile apps and created different tools to help developers integrate AI with the apps they build.

One way Google has pushed smarter AI for Android apps is to create tools for using machine learning in apps. This allows developers to build apps that can get smarter over time. It is also a great feature for apps that need to collect and use a wide array of unstructured data. With machine learning, Android apps can now do things like recognize images or understand natural language.

AI Features in Apps

With smarter AI, apps can now use features that were not possible just a few years ago. This expands the possibilities for app developers, and it creates better experiences for smartphone users. 

One example is the use of speech recognition in apps. It wasn’t that long ago that computers were terrible at understanding spoken language. With recent advances to speech recognition, this has changed. Personal assistants like Google Assistant are much better at understanding spoken commands. Users can now get digital assistants to do things like provide search results, answer questions and find directions without much of a problem.

Chatbots are another AI feature that has improved considerably. Older chatbots were not good for much more than offering a range of canned responses for a set of narrow questions. With chatbots backed by modern AI, customers can expect more. Natural Language Processing makes it possible for chatbots to understand a wider range of inputs and to provide a more useful variety of answers. Many of these systems can even work in text or by listening to voice commands.

Beyond that, you also have behavioural analysis. Apps can now collect data about a user’s actions and then use that info to provide a better or more convenient experience. Apps can learn about the products or services people want, analyse behaviour to help them manage their money better or collect health data to help them lose weight or build a healthier diet. 

Image analysis is another benefit of AI in apps. With AI, apps can do things like recognize the people in photos or identify the location a photo was taken. It can also recognize objects or animals in a photo. This can all be useful depending on the goals of the app and the features it is trying to deliver. 

While AI has been around for decades, the technology has been advancing in incredible ways over the last few years. With the market continuing to grow as fast as it is, we should expect the current AI technologies to get even better in the coming years. 

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