Incorporating AI in mobile app development makes it possible for consumers to feel a connection with the businesses they interact with. AI uses data to understand user behavior, making it possible to customize an app to the precise needs of each consumer. The more your customer feels understood by your brand, the more likely they are to become a returning customer.
Companies must stay up to date on the latest advancements in mobile app development to create the best programming. Software development is predicted to grow exponentially thanks to big data and powerful processors, and it’s important to know the available AI tools that can help businesses solve problems and create successful solutions. Now let’s take a look at some of the ways AI can improve your businesses mobile app development:
Enable Real-Time Language Translation
Real-time translation allows users to instantly translate one language to another. The latest neural machine translation (NMT) platforms allow two people to have a conversation in different languages with few delays and errors. Natural language processing tools analyze sound waves from words or phrases to identify the language. The system then determines what the speaker is trying to communicate before ultimately producing a translation. This technology has expanded the possibilities for communication around the world.
The most common use of facial recognition in mobile app development is seen in password operations. Using machine learning to detect human faces from a background, the algorithm looks for features such as eyes, eyebrows, and noses to distinguish people. Once these features are collected, the image is compared to enormous datasets of visual references and the system determines if the image contains not only a human face but the one needed to unlock the smartphone.
This software makes the potential of artificial intelligence applications extremely apparent. For example, many banking mobile apps now use facial recognition as a way for their users to sign into their accounts. According to American Banker, of the approximately 11,000 financial institutions in the United States, 15%-20% use selfie photo imaging in combination with document verification to authenticate users.
More Powerful App Authentication
AI in mobile app development has a significant impact on user authentication and app security. It is much harder for hackers to bypass systems that use aspects of artificial intelligence like facial recognition and CAPTCHA (Completely Automated Public Turing test to tell Computers and Humans Apart). AI also helps mobile apps catch irregular behavior from their users that may be a sign of fraud or hacking. Machine learning and blockchain can reduce threats and vulnerabilities, allowing for an easy authentication process and an overall excellent user experience.
If you want to keep your customers engaged, you should provide them with content that is tailored specifically to them. Integrating the benefits of AI in mobile apps will help you do that. For example, Starbucks implemented Deep Brew in their mobile app development to personalize offers, automate daily orders, and blow away the drive-thru market. Yahoo Finance reports that nearly 50% of Starbucks revenue is thanks to their mobile app. Deep Brew AI not only increases sales but also optimizes employee labor and assists inventory management. By gathering the data of your users and putting it in your learning algorithm, your mobile app can make recommendations for items or services that your customers would most likely purchase.
Chatbots use NLP to assist customers at a higher level than the prior system, Interactive Voice Response. These AI bots are programmed to answer questions and enable customer self-service, improving call center workflows and cutting the cost of staff employment. According to estimates, 67% of global consumers have used a chatbot for customer support.
Automated reasoning uses logical and analytical reasoning to solve problems. It is most commonly known as the algorithms that solve puzzles, play chess, or even trade stocks. Uber incorporated automated reasoning in their mobile app development to study the data of drivers who have driven similar routes in past jobs. Their app is now able to predict things like time to destination, estimated fare, and user satisfaction based on driver ratings.
AI is changing the way that companies develop mobile applications. Fusemachines offers high-quality output through our team of PhDs, data scientists, and AI engineers. No matter what your project entails, Fusemachines can provide a fully customized solution built specifically to fit your business needs. Saving you up to 40% compared to other AI app developers located in North America, our team will not only provide excellent service and results but will do so at nearly half the price.
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