While artificial intelligence now encompasses multiple fields other than mobile app development, its steady rise in usage in this field is a telling sign of just how much of an indispensable tool it has become when building your apps. Nonetheless, it’s still arguably a new frontier for most of today’s app developers.
What’s certain, though is that artificial intelligence is fast becoming one of the primary determinants of the direction that the development of most of today’s apps should take. If you’re still trying to grasp just how powerful the influence of Al is to mobile app development, you can start by paying attention to the invaluable tips we have outlined below.
4. Always Be in the Know About the Latest Trends in Al for Mobile Development
Of course, one of the fundamental steps that you should take before opting to incorporate Al in your app development endeavors is to take the time to equip yourself with the necessary information about its role. While the field is still arguably in its nascent stages, there are now numerous platforms and tools like OpenCog, Seldon, Protege, and Soar that actually aim to advance artificial intelligence as a whole. It’s also vital to recognize the significant influence that Al already has on the mobile industry as a whole, as evidence by the robust development and reliance of users on Apple’s Siri.
3. Prioritize the Collection, Sorting and Storing of Data for Your Al
Since most Al nowadays hinges on machine learning algorithms that nourish themselves from data that is fed to them, it’s only apt for developers to concentrate more of their efforts on analyzing data that their apps gather. This is vital in figuring out what improvements you can introduce to your app with the help of the Al you’re using. Some are even sophisticated enough to do predictive analytics of the said data, which developers can easily utilize to boost user engagement and retention.
2. Capitalize on the Focus on Search Analysis of Machine Learning Tools
Without a doubt, one of the fields that have felt the most impact of the advent of artificial intelligence in mobile application development is search analysis. This is especially vital since for apps that are designed to deliver users the best results and the specific information or object that they need. There are Al tools out there like Sentiment Analysis that are actually able to perform searches based on user opinion rather than numeric data. This smarter approach would undoubtedly give your app the leverage it needs to perform its functions optimally.
1. Make the Most out of Reinforcement Learning
What could be neater than an app that is able to improve itself by analyzing users’ search trends? With the reinforcement learning capability of most machine learning tools, an app would be able to learn and find out what exactly different kinds of users prefer based on their dynamic needs and preferences. In the end, an app that is able to intelligently figure out what its users need with the passage of time is bound to crystallize that next evolutionary step in the development of more intelligent — and ultimately better — apps.
Author Bio: Martin Brown is a senior marketing executive at Top App Creators, a comprehensive listing service that acts as a platform for app development companies to showcase their services to prospective clients. You can also follow us on Facebook.
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