Mobile artificial intelligence has been gaining traction in recent years. It is everywhere. You get Siri to wake you up in the morning, turn on the kettle from your phone, do yoga with your personal AI assistant that analyzes your movements and provides personalized feedback to save you from injury. You no longer shop offline, because it means crowds, waste of time and the risk of getting the COVID-19. You shop online, where you can upload a pic of a Christmas sweater and get tons of them in just a few seconds. And when you’re ready to order, you’ll pay with Face ID. Seems like the distant future? It’s not! We’re living this right now, and it’s only the beginning.
What is artificial intelligence in mobile? Artificial intelligence is a tech that has the power to collect, analyze and infer conclusions on its own as humans do. AI-powered mobile apps are high speed, better for power consumption, less prone to data breaches, and can work offline. The list of the benefits of artificial intelligence in mobile apps goes on.
What does artificial intelligence offer mobile app development? Plenty of new possibilities for mobile apps. Design and development, testing and support, performance and security, user experience – all of that can be taken to a new level with mobile artificial intelligence.
Have you ever wondered what it is that minimizes your shopping efforts through relevant item suggestions? What is it that helps you find the right AirPods case and a wool Alpaca knit hat your granny’s always wanted? That’s visual search.
Andrei Alkhouski, Machine Learning R&D Engineer at InData Labs, an artificial intelligence mobile app development company comments:
‘Visual search is a computer vision task that involves scanning of the visual environment to locate the target image. Simply put, it’s identifying the object within the image, looking for similar ones and providing the relevant search results to the user. The top benefit of visual search is that it’s sensory. It only needs an image to start the search. No text query needed’.
Mobile artificial intelligence is sometimes the synonym to visual search. It’s the driving force of modern E-commerce apps. Users stick to those apps that offer an easy and seamless experience. And the visual search can make it happen. To find the perfect dress, the user only gets to upload a pic of it and the search engine makes dozens of relevant suggestions. Walmart has been using its own visual search-based technology since 2018 on Hayneedle, a furniture retailer. Customers upload an image of furniture or home decor they like into the app, and it searches for the relevant content from Hayneedle.com. It guides customers to products and saves their time.
An innovation like visual search has been gaining traction lately. It’s been helping E-commerce businesses gain a competitive edge on the market, and it’s here to stay.
Whoever said that user behavior prediction is the next big thing for artificial intelligence in mobile app development was right. AI has the power to analyze user behavior in the scope of a mobile app and make predictions on what will be the next user’s move. Likes, dislikes, subscriptions, surveys, purchase history – all it shapes the perfect user recommendations based on their own experience. This is how artificial intelligence is driving mobile app personalization. Personalization makes the user hooked on your app and stay with your brand a little bit longer.
With user behavior prediction comes retention. With so many apps on the market, it’s important to identify when the user is likely to cancel the subscription and take action to prevent it. Take hyper-casual games. Puzzles, racing, coloring, cooking and so on – the type of games that exploit addiction. They are usually viral and win lots of downloads, but also soon-to-be-left by the users. So identifying what makes the user think of leaving the app, helps you intervene before it actually happens. As a result, you’ll remain profitable and won’t need to attract new users.
Text recognition is a subtask of OCR (Optical Character Recognition) and data capture. The kind of apps was made to automate manual data capture and extraction of invoices, receipts and other paper documents. OCR mobile apps are here for the rescue of those who need to scan, capture and extract text from images, etc. With the help of OCR technology, data can be easily transferred from images and stored in digital format. Simple as that.
Some apps are more than just converting images into text. Take Text Fairy. The app enables the editing of the viewpoint from where the image was done. If the image quality is not good, the app can try to improve its clarity. Another benefit is that the app allows copying the text to paste into another app. And that gives another credit to it. You see, mobile OCR apps have evolved in recent years. They make complex things simple and do save time.
Thanks to AI in mobile, language barrier is no longer the problem. With a mobile app in your pocket, you can travel the world feeling local everywhere. Same about work. The COVID-19 has contributed to a long-term boost in remote working. For example, only in Switzerland, the number or remote workers had doubled since the pandemic had broken down. And the GULLUP update says that over two-thirds of remote workers would like to continue working remotely, which is a lot. With remote working taking over the world, it’s safe to say that real-time translation would be in high demand. People are already used to relying on translation apps during job interviews or work meetings in Zoom. It’s comfortable, easy-to-use and gives you a helping hand whenever you need it. Isn’t it great?
Real time translation has gained momentum in mobile apps. Typed translation features like Google Translate are legendary. Can you guess what’s happening when you type a simple phrase like ‘Fröhliches neues Jahr!’ in the app? Translation engines identify the language and what’s being typed. Then the engine makes predictions about the destination language and the meaning implied and provides the translation. To make real-time translation work, different kinds of technology are used. OCR technology identifies the words, DL (deep learning) and neural networks make predictions about the source language and the meaning behind the words. All of that makes the translation fast, precise and to-the-point. Yes, sometimes AI gets it wrong, and the translation speed leaves much to be desired, but AI does evolve overtime. And it is safe to say that in the future we’ll get translation apps that get everything right and that see eye to eye with the user.
If you ever wanted to make better strategic decisions about your iOS or Android app, sentiment analysis for app reviews might be the answer. If you have millions of subscribers, there’s no way you’ll ask everyone to give feedback on your app. So you’ll have to be smarter than that. What about customer reviews collection and analysis? Gathering the implicit feedback on how customers liked or disliked your product can bring you opportunities for improvement. App reviews can tell you a lot about how they rate you and what roadblocks you have. Knowing your strengths and witnesses, you’ll reshape your app so it’ll top the charts and win the target audiences’ hearts.
Benefits of customer feedback analysis:
Little did we know that digitization would bring not only comfort and joy to our lives but privacy concerns and data breaches. To secure your data, artificial intelligence in mobile technology comes to the rescue. It provides an advanced level of security for the app making it resistant to cyber attacks and fraud. AI-driven apps guard your data when you send photos from a Christmas party to your friends, when you’re on the phone catching on things with an old friend, when you pay with Face ID for delivery from Zuma. Whatever you do within the app, AI is here to maintain your privacy.
Take face biometrics that is also related to AI. Facial data is unique and cannot be copied. Every human has their own facial landmarks that are almost impossible to fake. So, it makes you face a perfect authentication tool. Take smile-to-pay software. It’s powered by facial recognition and widely used for mobile payment. To pay for the order, one needs to smile. Simple as that. Simple, super easy and comfortable, we’ll say. And secure, which is more important. So it’s not surprising how popular it has been in China. And it looks like the application of this will soon take on the rest of the world.
Whatever the critics say, AI has brought unparalleled benefits to mobile app development in recent years. It has made face authentication and mobile payments with face real, elevated search within the app, made user behavior prediction a routine. The list can go on and on.
Truth to be told, most of our lives is somehow connected to AI-based apps. You can park your car in the artificial-intelligence-way, lock the house with an app, do pilates with a virtual assistant, and more. One way or another, it’s done with the help of AI in mobile. For apps it means more actionable insights, better downloads and opportunities for growth.