'Digital Me' on the device: Smartphones would be an extension of the user- capable of recognising them and predicting their next move. Your smartphone will track you throughout the day to learn, plan and solve problems for you, said Angie Wang, principle research analyst at Gartner. It will leverage its sensors, cameras and data to accomplish these tasks automatically."
User authentication: Security technology combined with machine learning, biometrics and user behaviour will improve usability and self-service capabilities.
Emotion recognition: Emotion sensing systems and affective computing allow smartphones to detect, analyse, process and respond to people's emotional states and moods.
Natural language understanding: Continuous training and deep learning on smartphones will improve the accuracy of speech recognition, while better understanding the user's specific intentions. As an example, natural-language understanding could be used as a near real-time voice translator on smartphones when traveling abroad.
AR and AI: AR can be used in apps to collect user data and detect certain conditions, which wasn't so easy earlier.
Device management: The smartphone will be able to keep frequently used apps running in the background for quick re-launch, or to shut down unused apps to save memory and battery.
Personal profiling: Users can receive protection and assistance dynamically, depending on the activity that is being carried out and the environments they are in.
Content censorship: Computer recognition software can detect any content that violates any laws or policies.
Personal photography: Smartphones can produce beautified photographs based on his/her photo editing preferences.
Audio analytics: AI capability on phones can identify sounds and alert users as required.