Gartner: 10 ways AI can improve smartphones
- By Sara Friedman
- Jan 05, 2018
As more government agencies consider artificial intelligence to augment everyday operations, research firm Gartner sees AI becoming a crucial part of the smartphone package as well. Gartner predicts 80 percent of smartphones will be equipped with AI capabilities by 2022.
Currently, 10 percent of smartphones have on-device AI capabilities that provide data protection and power management rather than cloud-based AI.
"Future AI capabilities will allow smartphones to learn, plan and solve problems for users,” Gartner Research Director CK Lu said. “This isn't just about making the smartphone smarter, but providing a more advanced user experience and reducing users' "cognitive load."
Although AI-enabled mobile devices are still in their early stages, Gartner has identified 10 high-impact uses for AI-powered smartphones that it expects to come to market over the next two years:
1. As an extension of the user, an AI-enabled smartphone will tap its sensors, cameras and data to learn, plan and solve problems by recognizing and predicting a user's next moves.
2. Simpler user authentication that combines machine learning, biometrics and user behavior to improve security, usability and self-service capabilities.
3. Emotion recognition to provide better context and an enhanced service experience.
4. Natural-language understanding to improve accuracy of speech recognition and gain a better understanding of a user’s specific intentions.
5. Augmented reality and AI vision, thanks to AR-ready phones and software development kits such as Apple’s ARKit feature and Google’s ARCore AR.
6. Improved device management through machine learning software that learns and analyzes user behavior to boost device performance and standby time.
7. Personal profiling based on collected behavioral data will enable service providers (like insurance companies) to dynamically adjust service levels based on a user's activity and environment.
8. Detection of restricted content through software that recognizes any content that violates laws or policies, such as a phone being used to take pictures of high-security facilities or store classified data.
9. Personal photographing to automatically produce beautified photos based on a user’s individual aesthetic preferences.
10. Audio analysis using a smartphone’s microphone to listen to real-world sounds, infer a meaning and then instruct users or trigger events.
Sara Friedman is a reporter/producer for GCN, covering cloud, cybersecurity and a wide range of other public-sector IT topics.
Before joining GCN, Friedman was a reporter for Gambling Compliance, where she covered state issues related to casinos, lotteries and fantasy sports. She has also written for Communications Daily and Washington Internet Daily on state telecom and cloud computing. Friedman is a graduate of Ithaca College, where she studied journalism, politics and international communications.
Friedman can be contacted at firstname.lastname@example.org or follow her on Twitter @SaraEFriedman.
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