Artificial Intelligence in Mobile Applications – the Benefits and Implementation
Many people have an irrational fear of artificial intelligence, as it conjures up images of Stanley Kubrick’s 2001: A Space Odyssey. The term “machine learning” makes them think about Emilio Estevez surrounded by angry machines in Stephen King’s Maximum Overdrive. What most of these people probably don’t realize is that they’ve already conquered their fear. They are currently using and benefitting from artificial intelligence on a daily basis thanks to AI in mobile apps. Artificial intelligence in mobile applications includes everything from Siri or Google Assistant to Shazam and Uber. The more addicted we all become to our mobile devices, the more exposure we gain to artificial intelligence.
Here’s a look at how artificial intelligence in mobile applications is changing not only the world in which we live in but how we operate and behave in this ever-changing world of advanced technology.
How Does Artificial Intelligence in Mobile Applications Work?
Artificial intelligence in mobile applications is programmed through the use of neural networks. The most basic definition of a neural network is a computer system that is modeled on the human brain and nervous system. Neural networks utilize machine-learning algorithms to perform tasks such as recognizing objects or images.
There are three main uses of this type of artificial intelligence in mobile applications:
- logic and reasoning;
- preferences and recommendations;
- behavioral and habitual analysis.
Logic & reasoning applications include most gaming, personal assistant and travel apps. They are based on machine learning and Big Data. Examples include Words With Friends, Cortana, and SwiftKey.
Preference & recommendation apps utilize stored information about the mobile device user, including purchases, online search history, check-ins, social media posts and more. Apps such as Amazon, Google Maps, OpenTable and Spotify incorporate artificial intelligence when determining the recommendations they provide.
Flo, SleepTracker, and Ada all fall into the category of behavioral & habitual analysis apps. They operate based on a user’s daily routine. They may analyze what time a user gets up in the morning and goes to bed at night, or how often and when they exercise. These apps create a detailed habits profile in order to determine when a person is most likely to do certain things so that a reminder can be sent at that particular time.
Next Wave of Artificial Intelligence in Mobile Applications
What will future AI-enhanced mobile apps look like? Gartner predicts that this year, the world’s 200 largest companies will rely on apps with built-in artificial intelligence to improve their customer service operations.
Here are some of the new apps demonstrating the latest advancements in artificial intelligence in mobile applications.
Astro is an artificial intelligence app that helps you keep track of your email and calendar. Features include email tracking & scheduling, integrated calendars, and an “Astrobot” assistant for Gmail and Office 365 users.
Non-native English speakers can improve their language skills using the Elsa (English Learning Speech Assistant) app. Elsa is an artificial intelligence mobile app that detects mispronounced words and provides helpful instructions on how to make the correct sounds. It also creates a personalized curriculum for the user based on interests and preferences.
My Starbucks Barista
If there is one company that is a trailblazer when it comes to artificial intelligence in mobile apps, Starbucks is the clear winner. Last year, they released My Starbucks Barista, which is an artificial intelligence mobile app that incorporates voice recognition technology. A user simply speaks out loud and tells the app what they want, and it places an order.
Recent News – Artificial Intelligence in Mobile Applications
Recent News is an artificial intelligence app that analyzes your reading habits and then aggregates relevant news and articles according to your particular interests. Being IoT-aware, the app syncs with your other devices in order to determine what you may have already read so that it doesn’t recommend it twice.
Of course, there are more and more of these types of artificial intelligence in mobile apps examples. Just do a quick search on the App Store or Google Play and you’ll notice a lot of voice-enabled applications, personal assistant apps, and mobile solutions that will connect all of your “things” to the Internet of Things.
Conclusion – AI Blockchain Projects in 2019
In summary, artificial intelligence in mobile applications is a growing trend that is set to become as common for our smartphones as cameras and text messaging.
Gartner states that 59% of organizations are still in the process of gathering information to build their AI strategies. The remainder has already made progress in creating or adopting AI in mobile apps. Pretty soon, all those “updates” for your mobile applications will contain some form of artificial intelligence. But don’t let that scare you.
All humans are reluctant to change, but artificial intelligence is something to be embraced rather than feared. The advanced AI is making in health, medicine, and security – not to mention how it makes our lives so much easier – far outweighs the ridiculous notion of the rise of the machines. Read more about the exciting AI Blockchain projects happening in 2019 from LiveTiles and check the infographic below.