December 23, 2019
Future AI capabilities will allow smartphones to learn
Audio AnalyticThe smartphone’s microphone is able to continuously listen
to real-world sounds. 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.1.
It will leverage its sensors, cameras and data to
accomplish these tasks automatically. Gartner predicts that by 2022, 80 per cent
of smartphones shipped will have on-device AI capabilities, up from 10 per cent
in 2017. For example, a smartphone hears a user snoring, then triggers the
user&Travel Vacuum Space
Bag39;s wristband to encourage a change in sleeping positions. Google
expects almost every new Android phone will be AR-ready out of the box next
year.
Your smartphone will track you throughout the day to learn, plan and solve
problems for you,†said Angie Wang, principal research analyst at Gartner. As
the smartphone market shifts from selling technology products to delivering
compelling and personalised experiences, AI solutions running on the smartphone
will become an essential part of vendor roadmaps over the next two years.
Users
can receive protection and assistance dynamically, depending on the activity
that is being carried out and the environments they are in (e. "Digital Me"
sitting on the deviceSmartphones will be an extension of the user, capable of
recognising them and predicting their next move. Service providers such as
insurance companies can now focus on users, rather than the assets.4. They will
understand who you are, what you want when you want it, how you want it done and
execute tasks upon your authority. 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.
For example, there are different aesthetic preferences
between the East and West — most Chinese people prefer a pale complexion,
whereas consumers in the West tend to prefer tan skin tones. Computer
recognition software can detect any content that violates any laws or
policies."With smartphones increasingly becoming a commodity device, vendors are
looking for ways to differentiate their products," said CK Lu, research director
at Gartner. This isn't just about making the smartphone smarter, but augmenting
people by reducing their cognitive load. Emotion recognitionEmotion-sensing
systems and affective computing allow smartphones to detect, analyse, process
and respond to people's emotional states and moods.9) Personal
photographingPersonal photographing includes smartphones that are able to
automatically produce beautified photos based on a user's individual aesthetic
preferences.
Augmented Reality (AR) and AI VisionWith the release of iOS 11,
Apple included an ARKit feature that provides new tools to developers to make
adding AR to apps easier. Objectionable images, videos or text can be flagged
and various notification alarms can be enabled. For example, smartphones can
capture and learn # a user's behaviour, such as patterns when they walk, swipe,
apply pressure to the phone, scroll and type, without the need for passwords or
active authentications. Natural-language understandingContinuous training and
deep learning on smartphones will improve the accuracy of speech recognition,
while better understanding the user's specific intentions. Car manufacturers,
for example, can use a smartphone's front camera to understand a driver's
physical condition or gauge fatigue levels to increase safety. "Going forward,
smartphones will combine two or more AI capabilities and technologies to provide
more advanced user experiences.7) Personal profilingSmartphones are able to
collect data for behavioural and personal profiling.
Analysts predict 80 per cent
of smartphones shipped will have on-device AI capabilities by 2022. For example,
with many sensors, smartphones can better understand and learn user's behaviour,
such as when to use which app. AI capability on a device is able to tell those
sounds and instruct users or trigger events. For example, taking photos in
high-security facilities or storing highly classified data on company-paid
smartphones will notify IT.g.
Content Censorship/DetectionRestricted content
can be automatically detected.â€
Gartner has identified 10 high-impact uses for
AI-powered smartphones to enable vendors to provide more value to their
customers." As an example, natural-language understanding could be used as a
near real-time voice translator on smartphones when travelling abroad., home,
vehicle, office, or leisure activities).â€2. Similarly, Google announced its
ARCore AR developer tool for Android and plans to enable AR on about 100 million
Android devices by the end of next year.(source).Gartner predicts that by 2022,
80 per cent of smartphones shipped will have on-device AI capabilities, up from
10 per cent in 2017. However, AI capabilities on smartphones are still in very
early stages.
Future AI capabilities will allow smartphones to learn, plan and
solve problems for users. For instance, when a user says "the weather is cold,"
depending on the context, his or her real intention could be "please order a
jacket online" or "please turn up the heat. On-device 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."
Over the next
two years, most use cases will still exploit a single AI capability and
technology,†said Roberta Cozza, research director at Gartner. User
authenticationPassword-based, simple authentication is becoming too complex and
less effective, resulting in weak security, poor user experience, and a high
cost of ownership. For example, in the connected home, it could order a vacuum
bot to clean when the house is empty, or turn a rice cooker on 20 minutes before
you arrive. For example, they will be able to adjust the car insurance rate
based on driving behaviour.
The proliferation of virtual personal assistants and
other AI-based technology for conversational systems is driving the need to add
emotional intelligence to better context and an enhanced service experience.
Security technology combined with machine learning, biometrics and user
behaviour will improve usability and self-service capabilities.6) Device
managementMachine learning will improve device performance and standby time.
(Representational Image: Bixby) Artificial intelligence (AI) features will
become a critical product differentiator for smartphone vendors that will help
them to acquire new customers while retaining current users, according to
Gartner, Inc
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