The worldwide AI market value is forecasted to grow to $267 billion by 2027.
The increasing market volume indicates the growing adoption of technology at an astronomical pace. The leading organizations from SMBs to fortune 500 companies are experimenting with technology to transform the business processes, optimize the operations, and reinvent the way businesses engage with their target audience.
Mobile app development is no different case. Businesses are changing their gear toward artificial intelligence to innovate their application and stand out in the competitive market. The AI app development is turning the mobile application into smart apps that automate repetitive tasks in a considerable fraction of seconds and are not prone to errors like-human beings.
With enormous potential, AI technology helps app developers invest their time in creative tasks and solve challenges proactively. There are more reasons to complement human intelligence with artificial intelligence. Let’s get into the depth of them.
What are the benefits of using artificial intelligence in mobile app development?
Making authentication secure
The user id and password-based or OTP-based authentication are popular in mobile applications. But, the two-layer authentication is hacked by the cybercriminals, thereby making the app prone to data loss. The security risk is better addressed by AI app development, wherein technology allows businesses to detect theft ahead of time and prevent them in real-time.
AI-powered authentication features analyze the login patterns and irregularities to identify the anomalies proactively and alert the system accordingly. Fingerprint-based authentication, facial recognition, and eye retina-based authentication are gaining traction in mobile apps to improve security. The improved security has also added convenience because the users don’t need to lift their fingers to unlock the phone and access the app.
It’s advantageous to parents as face detection algorithms won’t allow children to access restricted content anywhere on the internet.
Modernize search feature
The in-app search packed with advanced search features like- auto-correct, auto-fill, or related suggestions has become common. The AI technology taking the search functionality to a new level with voice and image-based searches. The blend of ML and AI tech enables users to speak a voice command and get the results for the products.
The image of the product when captured through Google lens and uploaded, the users will get the details of the product in a few seconds. The enhanced search feature makes the app user-friendly, which results in improved conversions.
Facilitate language translation on hand
The mobile applications available worldwide faces language problem that leads to reduced adoption. The real-time translation facility available online allows users from every geographic nation to use the app. But in the areas with a little-to-no internet connection, the apps won’t get traction. That’s where AI-enabled translator integration into mobile apps is a great help.
The AI translators take pride in translating the languages instantly without needing any internet connection. The advanced ML algorithms are trained for different dialects of the same language and translation so that communication would never be a problem with mobile apps.
Enhance communication with AI bots
The customer support, FAQs, or other communication modes are not effective and efficient in replying to the users instantly and convincingly. This is where AI bots step in. AI technology uses in mobile apps introduces an auto-reply feature to the app that enables an immediate reply to the users. Gmail’s smart reply is the best example of it, which was implemented by Google a few years back.
The AI bots act as virtual assistants to the users by quickly replying to the user’s questions by connecting the dots. The personalized response makes the users feel connected to the business and improve their experiences. The bots are trained for the questions that users frequently asked so that customer support time and efforts get saved.
Recognizing emotions and behavior
Analyzing user emotions with an ordinary mobile app is implausible because text recognition machines are not powerful enough to recognize emotions with words. That’s where advanced image processing and audio data interpretation capability in AI tech allows businesses to sense their emotions just the way human beings can recognize them.
Natural language processing and ML capability in AI tech enable apps to recognize verbal conversation and identify the user’s behavioral patterns.
Smart recommendation system
Making the users visit the app repetitively won’t finish the job. Instead, the users need to engage with relevant content to make them browse and buy from the app. The M-commerce apps are the best instance of it, where you must have experienced the smart suggestions for products. It enable e-retailers to increase loyalty and conversions.
The AI algorithms analyze every user’s journey from searching for a product to the average time they stay on a page and add them to the cart. This analysis helps them know what makes customers interested, and the recommendations made accordingly. Amazon, Netflix, Prime Video, and other businesses using AI technology to improve up-sell or cross-sell.
Automated reasoning
In on-demand apps, the real-time decision is all-important to make the app perform to the notch. Sometimes, complex issues arise that can’t be solved based on assumptions. A wrong decision ruins the user experience. That’s where AI-powered logical and analytical reasoning of mammoths of data make logical inferences to make the right decision smartly.
Uber or ola apps are the best example of automated reasoning usage. The app leverages and processes the data collected from drivers regarding the routes, time, and fares they have taken. It enables the AI app to use the data logically and predict ETAs, estimated fares and any surcharges due to traffic or peak time.
Debugging becomes a breeze!
The app testing is implausible to ensure the app performs as expected. The AI technology usage during mobile app development is a big help to mobile app developers. During debugging, recognizing the errors and fixing them is quite a task- which AI technology resolves effortlessly.
The AI technology lends a hand to the developers by detecting and fixing the error without any command requirement. The AI-based debugging saves a lot of time for the developers that they can invest in developing the high-performance, quality AI apps development.
Conclusion
Artificial intelligence technology use cases spanning across all industries. Harnessing the power of AI in mobile app development enables developers to help businesses advance with incredible functionalities. Technology is revolutionizing the way businesses operate, developers work, and users interact. It makes perfect sense to talk with Expert Mobile App Developers for building the next-gen mobile app powered with AI tech. What’s your experience? Don’t forget to share with us in the comments below.
