We’re at the precipice of an unimaginable technological evolution. Technologies like artificial intelligence (AI) and machine learning (ML) are changing our lives in ways that we didn’t anticipate. From our daily lives to our business dealings, AI has been rapidly changing how we do things, and in a good way, for the most part.
Similarly, the use of AI and ML technologies in mobile app development has significantly changed the mobile experience in the past few years. Businesses are using these technologies to provide personalized content to their customers.
If implemented right, AI can automate processes and enhance user experience. It’s such a powerful tool that it has become a necessity instead of just an add-on.
However, incorporating AI and ML in mobile applications is a unique challenge. There’s a lot of consideration and careful planning involved in the process.
AI Technologies To Use in Mobile Applications
Artificial Intelligence has different applications in the form of unique AI-powered technologies. These technologies offer comprehensive solutions to most modern business problems. Here are some of the top AI technologies used in mobile app development:
Chatbots
Chatbots have become a necessity for customer support. If implemented right, these conversational agents can handle most of your users’ queries.
While not a replacement for a human support agent, chatbots do help by assisting customers with all basic inquiries in real-time.
Biometrics
Biometrics AI technology is very beneficial for the marketing and security industries. It is used to analyze physical, sensory, and auditory attributes for secure interactions. This data can also be used for marketing research to give businesses an advantage.
Speech Recognition
One of the most useful technologies in mobile apps, speech recognition allows human speech to be translated for a computer system. Apps integrate speech recognition AI for better voice controls and creating a more beliavalble connection between the user and the app.
Image Recognition
Image recognition AI allows for any object in a photo or video to be identified immediately. It is of great use for identifying things in our daily lives. One of the most productive use-cases of this technology is when it allows your users to identify things easily for online tech support.
Emotion Recognition
AI and ML can process facial data to recognize human emotions and also identify any ongoing changes in those emotions. This data is extremely useful for businesses to evaluate user behavior and inclinations.
How to Integrate Mobile Apps with AI and ML
Integrating these technologies into your mobile app can set you apart in this competitive market. Here’s a step-by-step guide on integrating AI and ML into your mobile apps.
1. Understand Your Goals
When planning to integrate your app with AI and ML you should have clear understanding of your goals. Having clarity about what you want to achieve is essential for choosing the right AI technology for your mobile app development.
3. Choose the Right Technology
When the goals and objectives of your app development are clear, the next step is to choose the appropriate technology to integrate your app with. You also need to choose a suitable framework like Keras, Core ML or TensorFlow for this task.
2. Assess Your Data
The most important element of a working AI and ML model is the data you feed it. It is important that the data that is to be used for developing and training your AI is thoroughly assessed for any errors or improvements.
4. Develop the AI Model
Developing the AI model primarily involves coding its neural network and training it using the dataset we’ve acquired in the previous step.
Instead of building an AI model from scratch, you can employ the services of a mobile app development company to integrate the required AI technology into your app.
5. Deployment
After thorough testing of the integrated AI features, it’s time to deploy it and make it available to the end-user. Make sure that all the new features work properly and as intended before you put it out there.
Conclusion
Incorporating AI and ML technologies in mobile apps is a requirement to stay competitive in this age. The process of doing so is outlined in this article, but if you’re not familiar with coding or AI technology, then the best route is to hire a mobile app developer firm for this task.
