In the past few years, artificial intelligence (AI) has taken over technology dominance worldwide very rapidly. According to a Statista report, the revenue generated by the AI software market is expected to reach 126 billion USD by 2025, which is not too far away.Although AI is not the only emerging sector in the tech field, the mobile application development field is also gaining popularity in tech innovation and is expected to generate 613 billion USD by 2025, which is almost five times that of AI’s revenue.
Seeing the numbers, it is no longer a doubt that, when combined, these two different technologies can solve a lot of problems and generate hefty profits.
And here we are sharing the 7 best ways to implement artificial intelligence in mobile app development that are bound to enhance the productivity of your overall business.
So, let’s dive into them.
How can artificial intelligence (AI) support the mobile app development process?
There are a couple of ways through which AI can pace up the process and improve the overall working of the mobile app, and here they are:
Learning
The AI tools provide several methods for solving problems, which ultimately support delivering persistent outcomes for future purposes after going through multiple trials. As a result, it helps in pacing up the learning process and rectifying errors, if there are any.
Analysing and problem-solving
AI tools deeply study the user behavioral patterns of interactions with the app and, based on those interactions, offer solutions that are meant to improve the user experience of mobile apps.
How do you implement artificial intelligence (AI) in mobile app development?
Implementing AI rightfully in mobile app development can aid in enhancing the personalized user experience, automating tasks, and gathering insights. So, this is how you can use AI in mobile application development:
Voice Recognition
Voice recognition is one of the most widely known and implemented AI technologies for mobile apps. AI-powered voice recognition competence lets the users interact with the apps using voice commands and thus operate the apps seamlessly with more convenience and hands-free. One of the most popular examples is Google’s Voice Assistant. It delivers personalized responses to the users who have tutored their voice assistant to acknowledge their voice.
Speech Recognition
Similar to voice recognition, speech recognition is another great AI technology that uses voice control systems for app interaction. The only difference here is that speech recognition detects a kind of language or dialect, whereas voice recognition is related to the machine’s capability of identifying the user’s voice.
One of the best-known speech-recognising assistants is Siri. It converts the user’s command or speech into a computer-understandable language. Various modern app developers are integrating this feature into their apps for users’ ease and overall performance.
Chatbots and virtual assistants
Integrating AI-driven chatbots and virtual assistants is the next very functional and usable feature that you can integrate into your mobile app development. It helps companies interact with customers who leave any kind of query or feedback form regarding any issue or simply want detailed information about any product.
These bots are extremely intelligent and can handle frequently asked user queries and even provide recommendations as per user input. Some of the world’s best-known AI chatbots are Drift, Florence, CleverBot, ManyChat, and others.
Predictive Analytics
Offering personalised recommendations to users can aid them in saving time and increasing their likelihood of purchasing your products and services. Artificial intelligence algorithms help you depict the user’s behaviour pattern and generate results with predictive analytics.
With these insights, you can fulfil your potential customers’ needs by providing suggestions accordingly. This will not only help you increase your user-app engagement rate but also boost your app’s credibility.
Image and Object Recognition
Image and object recognition is another excellent AI feature that you can take full advantage of in your mobile app development. This technology enables users to scan and find any recognisable object, image, or other relevant pieces, sometimes also implementing augmented reality.
One of the real-world implementations of this technology is in healthcare. The staff can upload the scanned photo of the potential medical anomaly, and the AI algorithms, with their huge database and machine learning, can analyse the condition and come up with a diagnosis.
The application of this feature is endless. It can go from gaming to social media filters to eCommerce platforms.
Sentiment Analysis
This is a very smart AI feature as it predicts the user’s emotions attached to the mobile application. It gathers the data by analysing different feedback forms or user reviews from social media platforms. And based on that, it generates a report that gives you in-depth, valuable insights into user preferences, their likings or dislikings, and targets the significant issues. Thus ultimately helping you improve the user experience with the app.
Smart Search and Recommendations
The whole point of developing a mobile app is to provide features that users are looking for and generate revenues for your business. And this can only be possible with a great user engagement rate. With that said, AI features like Natural Language Processing (NLP) are a smart recommendation strategy that gives smart suggestions to users based on their scrolling, purchasing patterns, preferences, and history. Options that might go above their heads but not from your AI tool
Automated Personalization
And last but not least, integrate automated personalization into your mobile application to provide an experience your users’ will never forget. With the help of AI analytics, you can tailor the content, suggestions, interface, and features for every user. One of the very familiar examples you might have experienced is the Instagram app. The company keeps changing its features and exploring page options for creators and viewers at every fixed duration to meet their needs.
Conclusion
Businesses across different industries are already benefiting from the enormously powerful features of AI-powered mobile applications. And this is just the beginning of this era. So, the better you embrace it, the better it will be for your organization.
Regardless of the app creation process, whether it is hybrid mobile application development or web application development, the scope of AI is endless and everywhere.
So, if you want to get a competitive edge over your competitors, now is the time to integrate AI into your mobile app development.
Because if not now, then when?
