With more than five million mobile apps available in the market, it has become crucial that businesses must create an app that helps them sustain current market competition and growth.
Incorporating Artificial Intelligence in mobile app development makes it possible, so it has become a preferred option for businesses. It will help you create well-tailored mobile apps that offer personalised experience to your users and keep them connected to your services or products.
Plus, there are many other benefits that AI in mobile app development can offer your business.
Artificial Intelligence In Mobile App Development
According to Statista.com the worldwide market worth of Artificial Intelligence is going to cross $89 Billion by 2025. It plays a key role in mobile app development which enables you to develop intelligent applications that can transform and ease human needs.
AI helps you understand your user behaviour based on their previous shopping patterns. So, you can customise your app to meet user expectations and needs, which allows you to enhance user engagement and retention. This provides you an opportunity to stand out from your competitors and help you grow your business.
Now, let’s see how AI is useful in Mobile App Development.
Benefits of AI in Mobile App Development
- More Powerful App Authentication
- It Enables Automated Reply Functions
- Enable Real-Time Language Translation
- Improved Security with Facial Recognition
- Enhances Search
- Recommendation services
- Emotion Recognition
- Automated Reasoning
- Making Use of AI-powered Chatbots
- Learning Behavioural Patterns
More Powerful App Authentication
AI will have a more significant impact on App Security and User Authentication. This is because cybercriminals or hackers are also taking advantage of technological advancements. So, mobile apps need to stay ahead of the technology curve to assess security risks in advance and prevent these threats in real-time.
Incorporating AI on mobile phones will help the app stay informed about irregularities and anomalies in user behaviour. AI and its other advanced technologies like machine learning and blockchain can reduce threat perceptions and vulnerabilities. Thus it allows for a smooth authentication process and user experience.
It Enables Automated Reply Functions
Using artificial intelligence in mobile app development can help you add auto-reply features. It allows you to enable communication between the user and the device.
You may have noticed that Google has already incorporated this feature into the Gmail application. It is known as a smart reply. When you receive a message from someone, Google’s auto-reply feature understands it and suggests the answers accordingly.
AI on Mobile Phones Enable Real-Time Language Translation
You can use AI technology to integrate AI-enabled translators into your mobile apps. There are so many translation apps. But, most of them do not work offline. This is where AI-enabled translators show their advantage. It could allow your smartphone to translate various languages almost instantly in real-time without having an internet connection.
As artificial intelligence enables machine learning, these apps can learn different dialects of the same language and translate them. Moreover, AI allows the translation to be adjusted for latency. So, your user can set the lag between a spoken word and its translation. An example of this capability can be found in a Chinese Search Engine, Baidu.
So, AI-enabled translators in mobile phones help people to communicate with others across the world.
Improved Security with Facial Recognition
Facial recognition was first launched in 2017 by Apple to improve user security and satisfaction. Earlier, facial recognition had some issues, such as light sensitivity, and it couldn’t identify the person if any change in appearance happens, like if they put spectacles on their face.
But, today, combined with Apple’s elaborate hardware, Apple iPhone X uses an AI-based algorithm for its face recognition. It means it has come with added features and functionality. So, now, a user can easily unlock their mobile phones even if they change their looks.
It can also make sure that children have no access to the restricted content on the internet and can predict or detect a cybersecurity threat. Another advantage is that it can scan a patient’s face, identify his symptoms, and make a diagnosis.
Developers are using AI and ML technology to develop voice and image recognition to improve mobile app performances. Google has already implemented this AI-based solution, which is known as Google Lens. To use it, you have to click a picture of a product using Google Lens, and it will give you all the details of that particular product.
This enhanced search will improve user experience and make it more user-friendly. It can help you improve your conversion rates.
If you want to keep your users continuously engaged, you should provide them with relevant content. Integrating AI in mobile apps will help you do that. For instance, in almost all eCommerce applications, you might have seen the “Customers who bought this also bought” option with product suggestions. This can increase your customer retention rates, and chances are more for conversions to happen.
By gathering the data of your user’s choices and putting it in your learning algorithm, your mobile apps can make recommendations that your customers find interesting. As a result, it improves the chance of making a purchase.
Though this AI type is mainly used by eCommerce apps like Amazon and Entertainment industry like Prime Video and Netflix, it can also be used by any businesses that indulge in upselling or cross-selling of content.
Another exciting technology AI provides is that it allows you to read human emotions. For that, it uses advanced image processing and audio data interpretation. It captures human senses with voice intonation and subtle speech signals combined with facial expression change recognition technology.
As this feature improves mobile app performance, businesses use this technology to pair with the existing apps. For example, using this emotion recognition technology, the users can play the soundtrack that suits their current mood rather than playing a random soundtrack.
It is the science of enabling mobile apps to use logical and analytical reasoning to solve issues, like proving theorems, solving puzzles, etc. Through this feature, AI-powered machines defeat humans at games like Chess and industry tasks like market stock trading.
Many mobile app companies have incorporated this feature into their apps. One such app is Uber. It uses logical reasoning to study and process trillions of data from Uber drivers who have driven similar routes in the past.
Then, the app will use this information to make predictions like time to destination, estimated fare, etc., and thus helps the riders to reach their destination sooner. This feature will help the user to get a smoother and comfortable experience.
Making Use of AI-powered Chatbots
Most of the applications make use of AI-powered Chatbots that can chat with users. They act as Customer care personnel and quickly provide answers to your user questions. Nowadays, businesses are integrating Chatbots during the development of their apps.
It helps them to save the cost of hiring a whole customer service team. You can choose the most repetitive and frequently asked questions and ask your developers to design Chatbots to answer those questions. So, you don’t need a customer agent to answer those repetitive questions.
Learning Behavioural Patterns
Most AI-enabled apps can learn from a user’s behavioural patterns and use that data to make the next session more intuitive and seamless.
An instance is Snaptravel. It is a half-bot and half-human hotel booking service. It uses a combination of Natural Language Processing (NLP) and Machine Learning (ML) for having realistic sounding conversations with the users based on their preferences.
If the bot cannot understand and answer a specific question, a human agent will take over the conversation. And they teach the bot about how to handle those situations and help them avoid making the same mistake next time.
The above points show how AI is changing the way users are interacting with their apps. When incorporating AI in your mobile apps, there are many possibilities for you to improve your user experience. In addition, it helps you to achieve significant business profits. Amazon Alexa, Google Assistant, and Apple Siri are the best examples of this.
With the help of expert developers from a reliable technology partner like NeoITO, you can integrate AI and make your apps intelligent. Furthermore, it helps to engage your customers and encourage them to use your services.
Also, the role of AI in mobile app development is growing in terms of importance and will soon become the fundamental element of mobile application development. So, it is worth investing in AI.