AI in Mobile App Development — Top 8 Tools and Strategies

Artificial intelligence is a real product of the continuous progress and development of science and technology. This intelligent technology is incredible and can revolutionize the world completely. According to Statista report, the AI software market is going to generate nearly $126 billion by 2025. That’s why it’s so important to implement AI in mobile app development.

As per a survey, nearly 37% of worldwide brands have opted for AI technology in different forms. From voice assistants to predictive text to image recognition, a lot can be done using AI. 

READ: AI in Insurance: How New Technologies are Changing the Game

The mobile application development field is also gaining popularity in tech innovation and is expected to generate $613 billion by 2025. It is no longer a doubt that, when combined, these two different technologies can solve a lot of problems and generate good revenue.

Let’s take a look at the top 8 ways to implement AI in mobile apps.

Ways to implement AI in mobile app development

If you implement AI rightly in app development whether in native, web or hybrid app development, it can give you enormous benefits, including a customized user experience and task automation.

Image Recognition

Image and object recognition is one of the excellent AI features that you can take full benefit of in your mobile app development. Users can use this technology to scan and search for any recognizable object, or other relevant images, sometimes also implementing augmented reality.

One of the implementations of this technology is in healthcare. The staff can upload the scanned photo of the potential medical abnormality, and the AI algorithms, with their vast database and machine learning, can analyze the condition and come up with a diagnosis.

The application of image recognition is vast. It can go from gaming to eCommerce platforms to social media filters.

Voice recognition

Voice recognition is one of the most widely known AI technologies for mobile apps. AI-based 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 Amazon’s Alexa and Google’s Voice Assistant. It delivers customized replies to the users who have instructed their voice assistant to acknowledge their voice.

READ: AI for Customer Service: 5 Easy Ways to Help your Customers

Biometrics

Biometrics is another intelligent AI-powered technology that measures human behavior and physical characteristics. The main purpose of using this technology is to identify individuals for surveillance purposes. 

The well-known techniques used under biometric surveillance are fingerprints, iris or face recognition and DNA-based recognition. It is used to avoid any fraud, like in examination entries or any bank-related entry.

Chatbots or Conversational Robots

Another interesting way to implement artificial intelligence is Chatbot. It helps to get an efficient interaction of the company with its customer for any feedback form or inquiry. With the help of natural language processing, chatbots allow you to automate the responses to customers’ queries whenever necessary.

Chatbots are everywhere these days – WhatsApp support, Microsoft’s bot framework and Facebook messenger botare just a few examples. One of the basic reasons to have conversational bots for your business is to save operational costs for business. What’s better than satisfying customers with instant replies that too in less cost? 

Machine Learning

Machine learning is another well-known way to use AI in mobile apps, especially business apps. If you need classification or prediction-based features in your application, machine learning is good to have feature.  

You can take Forecasting based applications, like weather forecasting, to the next level with this smart AI-powered feature. Google Translate is also one of the best examples of machine learning technology. 

READ: Revolutionizing Agriculture with Machine Learning: Achieving Sustainability for a Healthier Planet

Predictive Analysis

Predictive analysis is any business app that can aid in predicting personalized recommendations for products or services. This AI-based feature helps you to know the user’s behavior patterns and give predictive results. This allows you to boost user engagement and win customer loyalty, which also aids in improving your brand’s credibility. 

Emotion Recognition or Sentiment Analysis

This smart AI feature is based on advanced image processing to monitor human emotions with speech and voice signals. It deciphers what human thinks about your brand, which allows you to give your customers tailor-made service based on their likes and dislikes. Consequently, it gives a big room for improvisation based on the user’s behavior towards your application. 

Smart Recommendations

AI-powered features like natural language processing are a widely used smart recommendation strategy. It considers the user’s purchase history pattern, preferences, history, and scrolling habits to give useful recommendations. 

Almost all well-known brands use this AI-based feature in cross-sell and up-sell techniques. If you have an app in the entertainment or shopping category, this AI feature is a must to have to stand out in the crowd. 

Final Thoughts

Various businesses are getting enormous benefits from AI-based mobile applications. And this is just the beginning of this digital revolution. So, the sooner you embrace it, the sooner you will get good results.

Regardless of the mobile app development process, whether it’s hybrid, native, or web app development, AI has endless possibilities and scope.