Mobile devices are a staple to professional and casual users. These devices help us interact with the world in a new way. Beyond communicating via audio & video calls and messaging, mobiles are entertainment units, health trackers, and workstations for several content creators. However, the challenge here is that mobile users demand personalization to own their devices. They want to change their phone’s appearance, shortcuts, and gestures and protect their phone from others.
Artificial Intelligence tools are a complete answer to address all these consumer demands. Artificial Intelligence, Machine Learning (ML), and Natural Language Processing (NLP) help mobile app developers in the app design and testing processes. It also gives developers the ability to add advanced features to mobile software and apps to improve the user experience.
In this blog, we’ll give you a breakdown of how AI, ML, and NLP are used by mobile app developers to usher in the new age of AI in mobile app development and mobile experiences. We’ll see how these tools contribute to the development process and how these tools are incorporated into the applications themselves.
AI for Mobile App Developers
Developers use AI models to collect user behavior information. This includes their activities through mobile applications, browsers, and users’ location data using GPS. There is a reason that app developers use AI to collect this data rather than directly collecting and storing it. AI allows the data to be collected faster, stored more efficiently, and kept anonymous. It is safer to use AI to collect and analyze user data.
The purpose of data collection is to provide personalized ad content, purchase recommendations, and a customized experience that suits the users. Evidently, the inclusion of AI in mobile applications has made the experience on mobile devices unique for each user. Developers hope to deliver such unique and memorable experiences to increase long-term customer loyalty.
AI has also aided developers in creating apps for different platforms concurrently. They can take advantage of innovative code written with the help of AI to create iOS, Android, and cross-platform variations of the same application. Consequently, mobile app developers save valuable time, which they can use for testing, debugging, and adding new features.
Improving Mobile Apps with AI Functionalities
Thanks to Artificial Intelligence, Machine Learning, and Natural Language Processing, we have gotten some cool and handy mobile features. Below, you can learn about six AI applications that have made themselves a permanent addition to our mobile devices.
Nearly all devices in 2022 have facial recognition, fingerprint scanning, and voice recognition capabilities. Hence, we are familiar features from the various phone security options we get. The locks on the phone are usually a fingerprint scan or facial identification. All three of these technologies are built on AI/ML solutions. ML uses data from our facial features to accurately recognize us. The more advanced the code, the faster and more accurate recognition. Similarly, AI stores the fingerprint pattern and can recognize it at various angles.
Other security measures through AI include encryption. All the information stored on a mobile device can be encrypted with AI and further protected with advanced security features like fingerprint scanning or facial recognition. Therefore, this enables users to safeguard sensitive information and restrict access to their mobile devices. In fact, for personal devices, this is the safest possible method for controlling access.
Another feature provided for sheer convenience and speed is automated replies. AI and NLP together study the usual responses from the user or a more extensive database and give suggestions for answers to any message. This feature is an extension of automatic suggestions. Users can send a pre-generated message directly with just the tap of a button.
Another extension of this feature is studying the content of an SMS, email, or chat to extract relevant information. Automated replies help you copy numbers, email addresses, meeting details, and codes such as OTP and pins. Afterward, users can make a call, start an email, or schedule a meeting immediately.
Chatbots have been around for a while, but their value as an assistive tool has increased dramatically with AI. AI Chatbots now use simple or complex algorithms to help users navigate applications, webpages, and more, performing the task much faster.
Chatbots are now available in multiple languages thanks to NLP and can interpret images or voice replies as well. Therefore, chatbots are a great alternative to 24/7 online representatives who are expensive and prone to errors or inefficiency.
Currently, the market for virtual assistants stands at 684 Million USD and could grow to 5 Billion USD by 2028. Hence, these AI-based phone companions are a staple in all mobile devices as they offer quick help, interpretation and are capable of performing a multitude of basic phone operations.
Virtual assistants can take dictation, interact with third-party apps, interpret commands in multiple languages, and are especially useful for older generations who are not savvy with mobile devices. They are also a source of entertainment and mental health support for users who do not interact socially often.
Some popular virtual assistants like Alexa, Bixby, and Siri are quite life-like in their responses and make for a highly engaging user experience.
Automated Reasoning for Improved Service
AI algorithms can be designed to understand logic. Therefore, incorporating AI can empower service-based applications to make decisions and cater to users’ needs.
For example, ride-hailing apps need to match drivers with the customer. AI observes the usual routes of the drivers and the fastest time to the customer to provide the optimal pairing. It can also use its ability for logic to provide the most affordable option.
Similarly, with domestic task-related services, users are provided with options that closely match their needs. Users do not have to go through reviews to decide but can choose from the automatically offered suggestions.
Healthcare is another essential service made convenient and accessible through mobile applications. Especially during lockdown due to the pandemic, remote health services became crucial. AI has helped connect doctors to patients within their homes, aid in prognosis and diagnosis, and link to pharmacies for immediate delivery of medicine.
AI-enabled telemedicine has quickly developed to the scale where it can be relied on in emergency and life-threatening situations. AI-powered health apps can also monitor patients remotely and alert their medical team if their condition worsens.
Additionally, AI can schedule appointments automatically. This is vital to support hospitals with a massive influx of patients. When patients and hospitals rely on AI to schedule appointments, it can remove errors like double-booked appointments or appointments at undesirable times.
To conclude, incredible things are happening in the mobile app industry, and developers are continuously innovating. AI, ML, and NLP are empowering developers to respond to customer demands quickly, while features of AI are also providing users an unmatchable digital experience. There is no doubt that AI is the future of mobile app development as the industry’s growth increases exponentially and customer demands evolve at a high pace.
Xavor Corporation is the digital transformation partner for industry leaders scaling from SMEs to startups to Fortune 500 companies. It aims to empower future developers with the tools and technologies needed to deliver high-quality products and services to their customers. Xavor’s decade-long experience in providing mobile app development and AI/ML services makes it a perfect partner for businesses seeking to step into the future. Learn more about our services here.