Why You Need AI in Your Mobile App

Artificial intelligence is changing the technology landscape. From healthcare to manufacturing and everything in between, AI is revolutionizing the mobile app industry in which it is introduced.

Artificial intelligence is also making its way into mobile apps and helping to personalize user experiences. In this post, we’ll show exactly how AI supports the idea of ​​an experiential app and why you (or your business) should care.

First, we’ll introduce you to what this amazing technology does and the ways you already interact with it in your everyday life.

What is artificial intelligence (AI)?

Artificial intelligence, or AI, is the theory and development of the ability of machines to perform tasks that normally require human intelligence, such as speech recognition, visual perception, or social interaction with humans.

Popular movies like the blockbuster I, Robot starring Will Smith usually come to mind when people imagine a world of artificial intelligence advancing to unparalleled and uncontrollable capabilities. However, artificial intelligence is all around us, even if we don’t recognize it.

Some of the ways AI is already in your life:

• Unlocking your iPhone with Biometric Touch ID
• Use Lane Assist whenever your vehicle ventures too far into your neighbor’s lane.
• Get Alexa to turn off your back porch with a simple voice command.

Artificial intelligence is not only in your everyday life, but it may have saved your life before. In hospitals, AI is having a growing influence on medicine. Examples:

• Reducing drug costs through automation.
• Supporting medical imaging by capturing errors.
• Tracking and organizing patient data.

From performing simple tasks like helping you unlock your phone with biometric reading to supporting medical image analysis to catch errors in medical records, AI has become a helper we didn’t even know we needed.

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The main reason why mobile apps need AI

The main reason why you should look at the potential of AI in your mobile app is the growing trend of users who want a personalized experience.

Apps like TikTok or Instagram are addictive because of their heavy involvement in AI and a subset of AI, machine learning. People can see exactly what they want when they want and where they want. If they don’t like something, the algorithm notices the lack of interaction and adjusts accordingly.

By implementing AI, you can not only understand what your customer likes or dislikes, you can even start segmenting your customers or prospects based on the data obtained from your app.

Types of AI used for a personalized experience

There are three different types of AI that can be used to create a personalized experience.

The three different types are:

• User profiling
• Self-service data preparation
• Customer journeys

User profiling

This is a way to target different aspects like psychographics and demographics and create content and interactions that are tailored to their needs.

Self-service data preparation

This is a way to organize your data so that it can be used for machine learning applications.

The customer journey

It is a tool that analyzes customer behavior and provides insights so you can optimize your workflows accordingly.

How does AI create a personalized experience?

In order to create a personalized user experience, AI-first looks at specific data collected from an individual.

AI will then use this data to understand the individual and tailor the experience to that person’s preferences.

Think of it this way, if your app was a store, you could tell exactly who walked in, what they were interested in, and how much they were interested. By implementing artificial intelligence, you can tailor the prospect’s journey to their preferences and provide them with the information most likely to lead to a sale.

Other benefits of AI in mobile apps

Improved App Authentication: 

It’s pretty clear that as AI advances, so will the entire tech industry. While all the innovations in technology are great, being more connected than ever puts us all at risk of hackers looking to obtain sensitive information.

To overcome this problem, companies like Apple, Google, and others are using AI to create advanced app authentication. They create new layers of protocols, making it difficult for hackers to penetrate a user’s device

Emotional recognition: 

AI will be able to understand the emotional context of a conversation. Uses voice, facial expressions, and body language to understand emotions. AI can recognize whether someone is happy, sad, or angry, and can also help users understand the cause of emotion.

This could prove extremely beneficial for the development of mental health-based applications.

Image Recognition: 

AI image recognition has some advantages that make it a valuable tool. The process of identifying unclear images is faster and more accurate with AI.

Even if the images are not very clear, the AI ​​image recognition functions can still get the values ​​accurately. For example, if the license plate of a suspect vehicle is blurred in the CCTV, the police will not be able to read it. With AI-based cameras, reading blurry license plates is getting easier.

Visual Search Engines: 

Text search engines are great and have helped many people find the information they were looking for in the past. While text search is good, visual search engines work much more efficiently.

Visual search engines categorize and label content in a way that is effective for users. For example, if you want to find the difference between two planes, you’ll need to do a pretty thorough deep dive. However, a quick reverse image search on Google will show you just how effective the visual search engine is.

Apps like CamFind are already helping people transform their text-based norm into a visual-centric approach.

Real-time translation: 

It will be much faster than the translation produced by modern applications. It is also more accurate and does not require an internet connection

so that I can work. Just upload the desired text and you’re good to go.

Conclusion

Artificial intelligence is here to stay and is becoming an essential part of mobile app development. Determining whether you need it to keep your app relevant is a tough question.

The first step in creating an app that is future-ready is to work with a development partner that not only responds to the AI ​​revolution but embraces it with open arms.

Contact reliable top mobile app development companies in UK offering innovative app development services using AI, ML, Big Data, and more.