How AI Is Transforming Mobile App Development Industry In 2023

One of the primary benefits of using AI in mobile app development is developers can create more advanced and user-friendly apps. Artificial Intelligence can be used to automate tasks like image processing and Natural Language Processing, allowing developers to focus on other aspects like website design, UX, and app design.

In this blog, we will dive deep into the use of AI in the mobile app development industry in 2023 and how to incorporate AI into mobile app development.

Use Cases of AI in Mobile Apps

AI can be used in the mobile app in more ways than one, as the technology has diverse applications. Let’s have a look at the prominent ways AI is being used in apps.

Predictive Analytics

Data Analysis has become vital for all businesses, no matter whether you are into healthcare, retail, financial services, or industrial products. Analytics has become vital to gain insights into consumer behavior, analyzing performance, and improving service delivery.

However, with AI, you will not look at your app analytics in the same way again. Intelligent algorithms can quickly analyze your customers’ usage data and even predict what will happen in the future. Thus, you will be able to prepare for future outcomes.

Personalization

The mobile app market is highly saturated, and that’s why you need to stand out from the crowd. You can use AI to do that.

You can continuously monitor your user’s behavior on the app and identify their preferences. You can customize your app’s content to deliver personalized experiences to each customer. This leaves a lasting impression on them and encourages them to return again.

This is very beneficial for mobile apps of eCommerce stores as AI will be able to recommend relevant products to customers on each visit. This includes the likelihood of purchases by the customers. 

Object Detection

If your application makes use of visuals, image recognition technology and AI can work together to identify objects, people, locations, and other relevant things. These features can be very useful, especially for the healthcare industry.

For example, healthcare professionals can make use of AI to diagnose diseases. They can upload a scan or photo of a potential anomaly, and AI can analyze and suggest a diagnosis.

In the Insurance sector, image recognition software can speed up underwriting and claim processing.

It can also be used to quickly and accurately assess damages from photos and analyze risks by scanning social media.

Security

For mobile app users, security is a major concern, especially if they are using a banking or an eCommerce app. When developing an eCommerce app, an experienced eCommerce developer must ensure the safety and security of sensitive information.

AI can help in this case by processing enormous amounts of data at high speed and detecting cyber security threats. Thus, AI can prevent attacks by alerting the company as well as the app users.

Machine learning algorithms learn from past experiences, and your app’s security will improve with time.

Another way AI can help with security is by adding a layer of security to your app by enabling biometric authentication for logging in. AI can do this by converting biometric data like fingerprints and facial scans into information that can be matched with a database.

Digital Assistance

Making use of speech and voice recognition technology, virtual assistants can identify your voice and what is being said and carry out the required commands. This allows users to interact with the app without having to use tabs & buttons.

As a result, virtual assistants can save a lot of your time. Speech recognition is also vital for people with disabilities.

If the app is meant to improve internal processes like contact center performance, AI can provide digital assistants for this. AI can be used to deliver dynamic call scripts and adjust dialogue suggestions for your executives in real time.

This helps employees in adapting to every call and serve each customer in an optimal manner.

Facial Recognition

Smartphones have face recognition locks, which is an important feature of Android smartphones. It is simple to use and provides an added layer of protection. This technology uses Artificial Intelligence & Machine Learning to recognize a face and unlock the phone or apps placed on the phone. 

We are heading to the next level of facial recognition, which is called emotion recognition. These technologies can recognize micro and macro expressions. This can be done by recognizing small fluctuations, body language cues, and vocal tones through sound and image data processing.

Automated Replies

AI-enabled apps can help you to communicate using your phone efficiently. For example, an app can sense the sentiment of the message you have received and help you draft a reply.

It can take care of monotonous questions asked by customers of an organization. For example, a bank customer may ask how to block a credit card? AI-powered bots can easily answer such questions.

These replies can be automated with the help of Natural language processing. The system will simply decipher the question, fetch the information from the database and display an appropriate response.

These chatbots can reduce the operational costs of large MNCs by billions of dollars!

How to Incorporate AI in Mobile Apps?

The process of incorporating AI in your mobile app development is very similar to other software implementation projects. However, there are some subtle differences that you should take care of to make it a successful endeavor.

We go through a step-by-step process of incorporating AI in mobile apps.

Step 1: Define Your Requirements

You might be tempted to augment all parts of your mobile app using AI algorithms. However, it would not be possible to do so due to other constraints. Hence, you need to prioritize the issues you would like this technology to solve.

By doing this, you will get maximum benefits and avoid implementing features that are unnecessary.

Step 2: Analyze Your Data

Before initiating your app development process that will include Artificial Intelligence, you should know where your data will come from. You can make use of Data Analytics tools to govern your data and organize it in an efficient manner.

These sets of highly organized data can then be fed to the AI module.

Step 3: Set Your Metrics

AI is implemented to improve your processes, service, or products. Hence, you need to set clear goals and metrics to measure how much value your app delivers.

Thus, knowing what you want to achieve with the aid of AI can help you create the right functionality.

Step 4: Implement the Technology  

This is the most crucial step, which incorporates the work of developers and engineers having expertise in AI technology. You need to make sure your team has enough expertise in both AI and mobile app development. They should be able to foresee any pitfalls which may arise and be capable of fixing it.

Step 5: Prepare for Integrations

Your AI-enabled app will fetch data from third-party sources and use third-party tools. As a result, you will have to incorporate APIs or use custom integration technologies.

Depending on how sophisticated your app is, you will need more APIs for integration.

Step 6: Keep a Tab on the Performance

You should not lose control over the performance of the app but rather try and increase it. No doubt, you want to meet the previously set goals and even surpass your expectations.

So, you need to constantly monitor the metrics and make prompt changes, if required, to the algorithm or any other part of the AI component.

On a Closing Note…

Many businesses, small or large, have already incorporated AI into their mobile apps, and this is just the beginning. In 2023, we can clearly predict the inclusion of more sophisticated AI-enabled features into mobile apps. This will give businesses an edge over their competitors and serve their customers better.