Artificial intelligence has become a hot topic of research and growth in today’s business world. Trendsetters in the world of mobile app development are constantly trying to bring new features to mobile apps. Artificial intelligence helps developers to be uncompromisingly competitive by creating amazing user interfaces in their applications.
According to Statista, the global artificial intelligence market will exceed $89 billion by 2025. When it comes to improving user engagement and business growth, AI has proven to be very useful. The solutions this technology brings help us to equip and understand user engagement based on user behavior patterns.
Let’s see how artificial intelligence is revolutionizing the world of mobile app development.
#1: Extract user data
AI is more than smart technology. Of course, it is used to solve complex problems that were difficult to solve in the past. It has proven to be very useful in bridging the gap between users and businesses. One of the best things about this technology is its ability to extract information about your users to achieve the desired output. Here’s how it can help:
- Search for user information
- Fix behavior pattern issues
- Analyze the pattern of user data
- Get statistics about users
#2: Better conversions
Text and voice have been used to search for information for a long time. You often find yourself in a situation where you know what you want to buy, but you’ve forgotten its name and don’t know how to find it. Visual search is at your service!
A few months ago I was planning to upgrade my internet package, but I couldn’t remember the name of the package that one of my friends suggested. After days of research, we finally remembered the name. It was a Spectrum Select package. Although visual search may not be useful here, I wish AI could come up with a solution to help users remember things.
Here’s what visual search means. It helps you find what you’re looking for, even if you don’t have the right description for it. Our smartphones are the Launchpad for this technology. A great example of this is Google Lens. Along with voice recognition, developers must also develop image recognition systems in their applications. Such apps that support the visual search feature will have a better conversion rate.
#3: Automatic Reasoning
It’s another AI puzzle that can take the world of mobile app development by storm. It is a step ahead of using artificial intelligence to analyze user behavior patterns.
Automatic reasoning creates problem-solving abilities. Through this technique, the application uses logical reasoning to solve complex problems such as equations, puzzles, and theorems. This means in the future; Artificial intelligence has the potential to become the master of stockbroking and even ad buying.
#4: Face recognition
AI facial recognition technology is very effective in diagnosing diseases, examining patients and even verifying parking. Most Mobile app development companies in UK have already successfully built a system that uses AI facial recognition. But how can facial recognition be used in mobile applications? The future brings the following:
In marketing, facial recognition could be used to ensure that children are not exposed to inappropriate advertising. The app was able to recognize the facial features of the person looking at the screen. In this way, companies can present their ads to an audience that falls into a certain age group.
Facial recognition is already used to detect fraud. Once this technology becomes mainstream, it will replace the need to enter passwords to access accounts and who knows what else.
In the medical world, computer vision and machine learning are used together to monitor drug consumption, offering support for management tasks.
One trick to ensure the success of your app is to consistently deliver great content to keep customers engaged. The personalization brought about by artificial intelligence would allow app developers to understand the reasoning behind users’ decisions when using their apps.
As a developer, you could create a feature in your app that will design based on what your clients love. For example, if they have purchased 100Mbps internet in the past, the AI algorithm will give them suggestions for providers that sell that internet speed. This type of AI strategy can be used by any business to up-sell their content. When experts take into account the opinion or choices of the viewer, they can also use AI to generate content that interests the user.
Big data can be combined with artificial intelligence to continue producing content that amazes viewers. Personalization is one feature that can be really useful in retail. Retailers could use AI applications to produce clothing that appeals to shoppers based on their shopping behavior and past shopping experiences. Nowadays, offering personalized content to your audience is no longer an option. It has become a business need that cannot be ignored.
#6: Voice search
Consumers already use voice assistants and would like voice search in the apps they use every day. An app that takes voice commands and does everything you want sounds awesome, right? Research by ComScore states that by 2020, 200 billion searches/month will be conducted using voice assistants. That would make the voice search market worth more than $50 billion a year.
#7: Better predictive response
An ordinary mobile application does not understand the user’s language, but an artificial intelligence application does. This is where the concept of predictive response comes into play.
Predictive response refers to the communication between the user and the device. When a user sends a message, the AI understands it and responds to it. On the back end, it takes information from user data and determines the current state to predict the outcome. Google has introduced predictive reply technology in its Gmail app. It’s called Smart Reply, which uses AI neural networks to send appropriate responses to emails.
Gmail has also integrated machine learning to analyze emails and recommend responses. This is useful for quick chats as it makes it easier for customers and brands to resolve their queries. The chatbot communicates with the user, but the experience is real.
#8: Machine Learning and Artificial Intelligence
The combination of artificial intelligence and machine learning is great for working with huge user data and getting insights. Machine learning provides efficient, reliable, cost-effective, and fast solutions for data-driven decision-making. For example, mobile apps with AI and ML can help doctors better monitor patients’ health. Doctors can also search for personal information based on a user’s profile to treat anomalies.
Studies and researches say that more and more mobile app development companies in UK will use artificial intelligence and ML to increase their sales. The two technologies also help businesses make better marketing decisions to increase user engagement and sales.
Smartphone users are privileged with the kind of applications created with the help of artificial intelligence. Artificial intelligence is growing at a staggering pace in various business areas. Businesses that have infused AI and ML into their applications are at a significant advantage against their competitors. It’s also a great way to gain traction and user engagement.
Artificial intelligence will make its way into our daily life very soon through mobile app development services. We can expect future AI platforms to work and consolidate various mobile interactions.