How is artificial intelligence used in mobile development?

Mobile applications have become an inseparable part of human life. They solve many problems, help businesses promote products and services both locally and globally. Given the growing demand for feature-rich applications and providing users with increased value and the best experience, companies are increasingly focusing on creating unique and smart applications based on advanced technologies: Blockchain, 5G, AR (augmented reality) and VR (virtual reality), AI (artificial intelligence) and ML (machine learning). AI and ML have transformed the way we interact with different machines and are helping to maximize the personalization of the user experience. Media and marketing companies, the education, healthcare industries and others are increasingly integrating artificial intelligence into their products, thereby seeking to improve their service and brand reputation.

Below we describe the benefits of applying artificial intelligence and machine learning to mobile development.

Increased search capabilities.
AI and ML have led to an increase in the use of voice search and voice commands. You can now ask a virtual assistant like Google Assistant, Siri, Alexa or in the domestic version, Alice or Marusya, to find something for you. Whether it’s restaurants, or jewelry stores, or any other information you need, you can get answers just by asking the right search engine question.
analysis and forecasting
Whether it’s food or grocery delivery, booksellers or kitchen vendors, companies are using artificial intelligence and machine learning in mobile apps to research customer interests and figure out how to make their service better for them. The data is obtained directly through the mobile products themselves, and it is then transmitted and processed most often on the server side.

Chatbots allow customers to get answers to standard, frequently asked questions faster without having to wait for a live employee to respond. And through push notifications, personalized recommendations based on search history, user location, age and preferences can be delivered.

Artificial intelligence analysis and forecasting are also used in IoT applications (applications for the Internet of Things – multiple objects connected via the Internet and exchanging data with each other). For example, existing similar services for industry collect data from various sensors and sensors, analyze them, generate reports, enable quality audits, detect defects, AI and ML technologies simulate negative scenarios for production processes and equipment, identify them, warn and notify of the need to influence them.

Facial Recognition System.
Since the release of the iPhone X in 2017, facial recognition has become a popular smartphone feature because of its ease of use and added level of security. Smartphone manufacturers use AI and ML-based algorithms to identify faces to unlock the device and the various apps on it. In the future, advanced versions of these technologies will appear in phones that will identify a person based on changes in their appearance: such as having a beard or wearing glasses.
Increased app security
With the rise of cybercrime, data and app security has become even more important. Using artificial intelligence and machine learning in mobile app development will help detect malware and threats in real time and alert users or businesses to them to prevent harm.
Real-time translation of foreign languages
Translation apps are quite popular, but most of them require a stable internet connection for proper smooth operation. With the integration of AI and machine learning directly into the mobile app, smartphones will no longer need an Internet connection to translate from multiple languages.

It is possible that those companies that quickly and effectively integrate artificial intelligence technologies in their projects will have a tangible competitive advantage in the market. We at AppCraft mobile app development studio are ready to advise on how AI and ML technologies can be applied in your service and implement your idea in the best way.