Artificial intelligence (AI), as one of the most promising technology fields, has already penetrated the mobile app development arena and has become popular for a wide range of benefits and positive impacts. AI is playing a significant role in the conversational chatbots as well as in mobile data analytics and user experience design. From mobile app developers, marketers to the end-users, all are benefitting from the implementation of AI in mobile apps.
What exactly is Artificial Intelligence (AI)?
AI basically refers to a computer science discipline that helps machines mimic human intelligence and reasoning for certain actions and responses. That means, AI makes machines capable of carrying out different tasks just by following the rational way human beings act in similar situations. Thanks to AI, machines and software applications can now interact with users and humanely make suggestions.
AI is used now by all kinds of computer applications, including the apps running on mobile devices. Let’s have a look at the various examples of AI implementation in the context of mobile apps.
Automation: AI-powered tools are used by top app developers to cut down the long process of development. For instance, AI test bots are already being used across various app development projects.
Machine Learning: This subset of AI technology is about training machines, over a period of time, about certain human interactions and responses. Thanks to this technology, mobile apps can interact with the users based on user preferences.
Machine Vision: AI also helps mobile apps to grab and analyze visual data. The face recognition technology is an excellent example of AI technology in mobile apps.
Intelligent Chatbots: AI-powered intelligent chatbots can humanely interact with the app users and tweak the interactions and responses based upon previous experiences and responses.
Voice Recognition: Using AI technology to recognize a user’s voice and use this voice recognition data for unlocking devices or sending commands has already become popular across mobile apps.
Now that we have a basic idea about the various AI technologies and their impact on mobile app development and user experience, it is time to get deeper into the exact benefits of AI for the mobile app ecosystem.
AI for Boosting App UX and User Engagement
AI in the context of mobile apps has already become a reliable technology for creating a smooth user experience and boosting user engagement. When it’s properly implemented, AI technology in mobile apps can dig out a lot of user data that can be further analyzed for detecting certain user behavior, patterns, and trends. Based on these insights, UX designers can fine-tune the app further.
In addition to improving the user experience design, AI can play a huge role in customer interaction by using chatbots for initiating interactions with the users. The chatbots have already effectively been having better customer interactions than customer support teams for common issues.
Most apps fail just because of their lack of user engagement. The lack of engagement results directly into slower business conversion, diminishing brand image, and slower user acquisition. All these can be handled by AI-powered analytics working inside mobile apps. By analyzing user behavior patterns and preferences, more timely communication, and relevant content can be delivered in the right context to boost engagement.
AI for Better Mobile App Security
AI can play an important role in mobile device security and protecting app data. Face Unlock, launched by Apple in 2017, is a great example of visual recognition, a subset of AI technology. This device unlocking system, now embraced by other platforms and devices, revolutionized device data security. Google has also announced its own radar-based face unlock system for the Pixel devices.
AI can also be utilized for handling all kinds of cybersecurity threats that are becoming increasingly common in the mobile app landscape. Artificial intelligence technologies such as machine learning and deep learning are being used to create sophisticated algorithms that can easily detect anomalies in certain user behavior and data patterns. The advanced security algorithms used by mobile apps in certain sectors can easily certain traits and security vulnerabilities that need to flag off quick alerts.
Personalization and Contextual User Experience
AI can help meet the expectations of mobile users by personalizing messages, communication, content, and certain in-app features and activities.
As mobile phones are highly personal devices, the apps addressing personal preferences are more likely to result in happy users. There are certain mobile app development frameworks, like Flutter, that offer ready-made tools for data-driven personalization in UI and UX.
Aside from personalization, providing data to users in the right context is another important aspect of a great user experience. Based on location data, timing, data corresponding to individual schedules and preferences, weather data, and other factors, an AI-powered mobile app can send messages and recommendations for the users in the right context. For example, after landing in a new city, your travel app can quickly suggest cheap hotels and parking options nearby.
Conclusion
Artificial Intelligence (AI) has emerged as the tech world’s new horizon and mobile apps are natural beneficiaries of this technology. We can continue to expect more innovative implementation of AI in mobile apps across all niches.
