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AI-Powered Smartphones will be critical differentiator, says Gartner

Analysts predicts smartphones to have On-device AI capabilities by 2022
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AI-Powered Smartphones will be critical differentiator, says Gartner

According to the recent study, Gartner reveals that on-device Artificial Intelligence (AI) features will become a critical product differentiator for smartphone vendors. This will help them to acquire new customers while retaining current users. Over the next two years, AI solutions running on the smartphone will become an essential part of vendor roadmaps.

Gartner predicts that by 2022, 80 percent of smartphones shipped will have on-device AI capabilities, up from 10 percent in 2017. On-device Artificial Intelligence (AI) is currently limited to premium devices and provides better data protection and power management than full cloud-based AI, since data is processed and stored locally.

In the report, Gartner has identified 10 high-impact uses for AI-powered smartphones to enable vendors to provide more value to their customers.

1)    “Digital Me” Sitting on the Device

Smartphones will be an extension of the user, capable of recognizing them and predicting their next move.

2)    User Authentication

Security technology combined with machine learning, biometrics and user behavior will improve usability and self-service capabilities.

3)    Emotion Recognition

The proliferation of virtual personal assistants and other AI-based technology for conversational systems is driving the need to add emotional intelligence for better context and an enhanced service experience.

4)    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.

5)    Augmented Reality (AR) and AI Vision

With the release of iOS 11, Apple included an ARKit feature that provides new tools to developers to make adding Augmented Reality (AR) to apps easier. One example of how AR can be used is in apps that help to collect user data and detect illnesses such as skin cancer or pancreatic cancer.

6) Device Management

Machine learning will improve device performance and standby time. For example, with many sensors, smartphones can better understand and learn user’s behavior, such as when to use which app.

7) Personal Profiling

Smartphones can collect data for behavioral and personal profiling. Users can receive protection and assistance dynamically, depending on the activity that is being carried out and the environments they are in (e.g., home, vehicle, office, or leisure activities).

8)    Content Censorship/Detection

Restricted content can be automatically detected. Objectionable images, videos or text can be flagged, and various notification alarms can be enabled.

9) Personal Photographing

Personal photographing includes smartphones that are capable to automatically produce beautified photos based on a user’s individual aesthetic preferences.

10)     Audio Analytic

The smartphone’s microphone can continuously listen to real-world sounds. AI capability on device enable them to tell those sounds, and instruct users or trigger events.                                                 Read more…

Syeda Beenish

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