While AI is still in its infancy, it’s already transforming our lives via the powerful and compact multi-purpose portable devices we carry in our pockets.
In a nutshell, AI is the concept of intelligent behaviour in technology. The most common example of AI enhancing mobile apps is voice assistant technology like Google Assistant, Siri, or Alexa, which use AI for speech recognition — AI helps them decode human speech and convert it into a format that the machine understands.
Meanwhile, machine learning (ML) is a subset of AI that allows computers to analyze and learn from big data in order to serve us more efficiently. An example of ML application in mobile technology is when fitness apps analyze data tallied from fitness trackers, smartwatches, mobile phones, and other devices to offer personalized fitness tips.
Every year, more mobile apps for startups and companies take advantage of tools that utilize AI and ML in order to give users more compelling experiences. Here are a few more applications of AI in mobile development:
#1 AI Biometrics
AI-powered biometrics technology uses AI to analyze, identify, and judge physical characteristics and human behaviours. With AI, biometric technology can recognize a human face based on its structure, shape, and size, even if the face is smiling, frowning, crying, or laughing.
With modern smartphones, it’s easier than ever to take a professional-quality picture with a single tap, thanks to AI. The AI algorithms in a phone can identify if a user is shooting a person or a panorama. In addition, AI can select optimal photography settings so that a user doesn’t have to.
AI technology also helps the phone’s software make countless post-procession decisions to improve each picture’s quality, saving a user many hours of work with photo editing software. For example, AImay neutralize the negative effects of reflections, bad angles, and less than ideal lighting without user input.
While smartphones still can’t compete with DSLR cameras and Mirrorless Cameras, mostly due to weaker sensors, they can give consumers more bang for their buck with AI-powered photography apps.
Some mobile apps use AI to help users identify objects and items. For example, people who use Samsung smartphones can take advantage of Bixby Vision to learn more about a book they see at a brick-and-mortar store, or a landmark they see while travelling.
Chatbots are virtual assistants found on company websites and apps that answer users’ questions and help them make decisions. AI-powered chatbots offer users more personalized and accurate responses. For example, eBay’s chatbot helps users find deals and recommends new purchases after using AI and other metrics to analyze their shopping history.
Financial apps take advantage of AI to help people make more educated monetary choices. The apps use ML to analyze market trends and offer investment advice based on a user’s appetite for risk and current financial standing.
These are five ways in which AI is having a significant impact on mobile app development. As AI grows more sophisticated, you can expect apps to be smarter and more useful.