Gartner, an international research and consultancy, said that AI will be the key differentiator for smart phone manufacturers and that new entrants will be acquired by AI vendors while retaining existing customers. As the smartphone market moves from mere Selling technology products and turning to provide a highly engaging and personalized experience, AI solutions on smartphones will become an important part of the roadmap for each vendor in the next two years.
Gartner predicts that in 2022, AI-enabled smartphones will increase from 10% to 80% in 2017. Currently, only high-end handsets with built-in AI provide better data protection and power management than cloud AI, Because the data must still be processed and stored inside the terminal device.
CK Lu, research director at Gartner, said: 'As smartphones become more everyday items, vendors are looking for ways to differentiate their products, and future AI features will allow handsets to learn, plan and solve user problems on their own This not only makes smartphones smarter, but it also helps to reduce cognitive burdens and make everyday life easier, but the AI features on smartphones are still in their infancy.
Roberta Cozza, research director at Gartner, said: 'Most use cases will still take advantage of a single AI feature and technology for the next two years, but in the future, smartphones will combine two or more AI features and technologies to provide upgrades Enhanced user experience.
Gartner proposed AI mobile phone's top ten far-reaching impact of applications, so that manufacturers can create more value for consumers.
1. In the phone's 'digital self' (Digital Me)
A smartphone will be an extension of the user, recognizing the user and anticipating the next step in the action. 'Digital Self' understands who you are, what you want, when you want to do it and how you expect it to happen, and you do what you want.
Angie Wang, principal analyst at Gartner, said: "Smartphones record your life around the clock and learn, plan and solve problems for you.The handsets will automate these tasks with sensors, lenses, and data.For example, in a connected home, When there is no one in the room, the phone can order the sweeping robot to clean it or start cooking in an electric pot 20 minutes before you get home.
User verification
Simple, password-based authentication becomes more complex, less efficient, resulting in poor security, poor user experience, and high cost of ownership Security technology combines machine learning, biometric identification, and user behavior , Dramatically improving usability and self-service capabilities.For example, smartphones can capture and learn user behaviors such as walking, sliding or pressing a cellphone, scrolling and typing habits without requiring a password or proactive authentication '
Emotional identification
Emotional awareness systems and affective computing enable smartphones to detect, analyze, process and respond to people's emotional states and moods Virtual VPAs and other AI-based conversational systems technologies For example, a car dealer can use the front lens of a smartphone to know the driver's physical condition or to detect the condition of the driver Fatigue level, thereby improving driving safety.
4. Natural language understanding
Continued training and deep learning on smartphones will increase the accuracy of speech recognition and better understand the user's specific intentions.For example, when the user says' cold weather 'his true intentions may be' Please buy a coat online 'Or' Please adjust the temperature of the air conditioner '. Or when traveling abroad, natural language comprehension can make the smart phone achieve near-instant voice translation.
5. Augmented Reality (AR) and AI Vision
When iOS 11 was released, Apple provided an ARKit feature that made it easier for developers to incorporate AR into the app.Google also announced the ARCore AR development kit for Android, which is expected to be powered by approximately 100 million Android devices by the end of next year AR Google predicts that AR functionality will be pre-loaded on almost every new Android phone next year, such as apps that assist in collecting user profiles and detecting diseases such as skin cancer or pancreatic cancer.
Device Management
For example, with multiple sensors, smartphones become more comprehensible and learn how users behave, knowing which application to use when they are available, etc. Smartphones will be able to perform frequently in the background Application to quickly open or close unused applications to save memory and power.
7. Personal Analysis (Personal Profiling)
Smartphones gather information about behavior and personal analytics, and users can get instant protection and assistance based on ongoing activities and the environment in which they are located, such as at home, in the car, at the office or at leisure. Service providers such as insurance companies now Focus on customers rather than assets; for example, they can adjust car insurance premiums based on driving behavior.
Content review / testing
Mobile phones can automatically detect restricted content, report images, videos or texts of concern and enable notifications of any kind. Computer-based software can detect any content that violates laws or policies. For example, using a company-provided mobile phone at Take photos in high secret spaces or store confidential documents and send a message to the IT department.
9. Personal shooting preferences
For example, Eastern and Western aesthetic preferences vary, most Chinese prefer the fair complexion, whereas Westerners prefer the bronze complexion .
10. Audio Analysis
The smartphone's microphone continuously receives real-world sounds, and the AI function on the device can discern the sounds to direct the user or initiate a specific action, for example, when the smartphone hears the user's croaking to activate the user Bracelet, prompting it to change sleep posture.