Artificial Intelligence (AI) is a fast-paced and impressive machine learning innovation that has led to a far-reaching shift in the way new-age businesses. Mobile app developers and users now look forward to smart conversations in mobile apps. AI has a versatile multi-dimensional effect on the app industry, resulting in mobile app designers to incorporate more AI into their apps.
“For 2018, 7.5 billion U.S. dollars were expected to be spent only on artificial intelligence (AI) business operations as per”
AI analyzes customer’s behavior of app usage; it captures and stores the data. Then it uses metrics such as location, contact and the customer’s everyday conduct to make it more convenient for you to use the app. So much so that you do not have to type the reply. AI has now become a key part of mobile app development solutions for years.
Now the concern is, how does AI revolutionize the development of mobile apps? let’s just take a look at how AI optimized the mobile app UX:
Smart Reply is going to type replies for you. It allows users to respond to messages with minimal interaction capabilities. It’s just a Gmail response that you see at the bottom of the emails you’re receiving. Usually, with little phrases that AI has determined are appropriate and relevant responses. The most common responses are phrases like “Noted,” “Acknowledged” or “Sounds good, let me know.”
This innovation is admired by people all over the world as it has brought convenience to the next level. Therefore, smart reply when embedded in an Android application will save a great deal of interaction time.
Another AI functionality worth mentioning is the image labeling. Even smartphones that are now being launched are designed keeping camera lovers in view. Further pixels are also introduced to attract users. This is the method of identifying the different objects in a picture. You may identify various entities such as animals, plants, food, colors, items, fictional characters, drinks, etc.
The image tagging/labeling functionality in your Android app introduces the label to the objects saved in the application. It lets people get images based on the labels that have been added to them. So, Android apps dealing with cameras and stuff like that can use this AI feature to improve customer experience.
Personalization is also an AI-driven, real-time personalization mechanism that delivers personalized recommendations. The AI-driven personalization innovation is in a position to efficiently predict the customer roadmap and can forecast the next move along that trajectory.
An example of AI-powered personalization is Netflix. It suggests the videos that are predicated on your interests. AI-powered personalization takes the assistance of AI-powered predictive analytics, and so Netflix predicts the kind of videos you’d like to see based on your history of watching videos. Businesses aiming to make a progressive change in providing customer experience, AI-powered personalization should be your next step. Make doubly sure your next Android update has to be an AI-powered personalization update.
Speech recognition is a further aspect of artificial intelligence (AI) that most enterprises have already begun to incorporate. This technology like to translate human speech into a language that is interpreted by a computer is defined as Speech Recognition.
It is a technology that enables spoken feedback to devices. You’re speaking to your computer phone, or device and you’re using what you’ve just said as feedback to prompt some action. The technology is used to substitute other input processes, such as writing, tapping, or selecting in other ways. It is a way of making the app more user-friendly and increasing productivity. Businesses can leverage speech recognition to perform different tasks of their Android applications.
Chatbots are the robots you ‘chat’ with for brand interaction purposes. Chatbots interact with the audiences and other chatbots just like a human would. It is basically a computer program that simulates human conversations. Chatbots interact with the real audience, and also with other chatbots, quite the way real communication takes place. It encourages a type of interaction between a human and a machine to communicate through messages or voice commands.
Businesses looking to take advantage of AI-based chatbots in their Android apps are anticipated to see additional business benefits.
Face detection is another great technology that is put forward by AI. It is a way of detecting a human face through technology. The facial recognition technology uses biometrics to trace facial features from a photo or video. It applies the input to the database of known faces in order to find a match. Facial recognition and facial detection incorporate artificial intelligence (AI) to develop a better framework for analyzing human faces. These facial recognition applications in the Android app help you imbibe the security elements of the app as iOS does.
Text recognition deploys artificial intelligence (AI) to interpret the text embedded in media files, such as images or videos. There have only been a few gaming companies that have been using this feature in their Android applications. Extracting text from images and videos may also benefit businesses planning to develop apps that create video transcripts.
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