Mobile is the personal computing platform now. Once the cool new technology on the block, mobile has now become the ’new normal’.
And it’s here to stay.
By 2025, almost 9 in 10 people will have a mobile device in their pocket in North America and Europe.
And the rest of the world is catching up. By 2025, about 7 in 10 people will have a mobile device worldwide1.
And soon enough, everyone will have an internet connection through a mobile device. This has mostly exploded thanks to smartphones.
By 2025, around 8 people in 10 will have a mobile internet connection2.
Wow! Remember when all we had was dial-up?
Mobile internet penetration Europe
Mobile internet penetration North America
Mobile internet penetration worldwide
And people would rather stay on mobile than switch back to a laptop or desktop computer. In fact, they spend more time on mobile than on any other device4.
Daily hours spent with Digital Media per Adult User (USA)
In fact, most people can’t wait to try out new mobile products.
Engagement patterns are strongly skewed towards early adoption5.
Smartphone user segmentation by engagement pattern (% of total smartphone users)
Afficionados use their phones for everything. They show high engagement across all areas.
Pragmatists use their smartphones for most things, but are still experimenting with lifestyle, digital commerce and financial services use cases.
Networkers use their phones to communicate, socialize, browse the internet and for apps, and sometimes for entertainment.
Talkers use their mobile phones almost exclusively to make a voice call or send an SMS.
And it’s not just about our lives and businesses going mobile6. How mobile shapes our day-to-day is getting transformed by new technologies.
We think the next chapter in mobile is AI.
And it’s not just us being excited about AI’s potential in tech.
The number of AI startups and VC investments made in AI have exploded in the last 5 years8.
+113%
Increase of active AI startups in the US from January 2015 to January 2018
+350%
Increase of venture funding for AI startups in the US from January 2015 to January 2017
In the last years, the main applications of deep learning have been defined7.
Deep learning is transforming how software is working, by changing the focus from code to data. Deep learning algorithms learn from examples, not from code. It has applications in:
Computer vision
Natural language processing
Pattern recognition applied to sensory data
Wait! What’s deep learning again?
Machine learning refers to the ability of a machine to learn using large data sets instead of hard-coded rules. Deep learning is a machine learning technique, loosely modelled on our brain structure. The algorithm performs mathematical computations on input data, through several layers of “neurons” (where each neuron makes a specific calculation), until they return the desired outputs7.
The camera becomes a smart eye, not only capable of seeing in different lighting settings, but also recognizing what it sees (people, writing, objects)
Paired with a SMART WEARABLE, you can get a new level of body awareness.
YOUR SMARTPHONE will move beyond sensors and get artificial “senses”, capable of reaching human performance in some areas and even going beyond human performance in others.
The microphone becomes a smart ear, able to recognize what it hears (your voice, what you say, surrounding sounds).
The acceloremeter and giroscope give you a smart sixth sense of motion.
YOUR SMARTPHONE will move beyond sensors and get artificial “senses”, capable of reaching human performance in some areas and even going beyond human performance in others.
The camera becomes a smart eye, not only capable of seeing in different lighting settings, but also recognizing what it sees (people, writing, objects)
The microphone becomes a smart ear, able to recognize what it hears (your voice, what you say, surrounding sounds).
The acceloremeter and giroscope give you a smart sixth sense of motion.
Paired with a SMART WEARABLE, you can get a new level of body awareness.
There are approx. 2.71 billion smartphones in use worldwide in 20199, waiting to be upgraded with smart software to become capable of using deep learning for specific tasks. As deep learning gets deployed at scale, it will have a massive impact, creating a new generation of applications.
Here’s just a selection of the smart apps you may use or will end up using in the following years.
Smart apps based on computer vision
An alarm app so you can use a spare camera as a security system10
A camera update that can help you take photos in the dark11
An app that can tell you what flower you’re looking at12
An app that can recognize plant diseases13
An app that can recognize skin cancer14
An app that can count your exercise reps and guide you to keep the right form15
An app that can recognize cells or chromosomes when connected to a microscope16
An app that can count cars, people or animals passing by a certain area17
An app that can detect when someone has fallen and notify you18
An app that can sort cucumbers19
An app that can help you draw22
An app that can live translate sign language23
An app that can guide you while assembling your furniture24
Smart apps based on NLP
An app that can recognize what you say, reliably, in any language25
An app that can live translate from one language to another26
An app that can detect your emotions from the tone of your voice27
An app that can detect your emotions from your words28
An app that can summarize any article29
An app that can help you write better30
An app that recognizes the music you’re playing and acts as an accompanist34
Smart apps based on pattern recognition in movement data sequences
An app that can recognize movement activities31
An app that can recognize sleep patterns32
An app that can recognize you based on your typing patterns33
An app that can help diagnose neurological diseases from body movement patterns35
An app that learns how your dog usually acts and can tell you when it’s sick based on its behavior36
Deep learning in mobile has an endless range of applicabilities. It will be really interesting to watch how it all unfolds and we’re excited to be a part of it.
Join us in discovering the AI-powered mobile world!
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