Artificial intelligence for mobile application development

Artificial intelligence for mobile application development

Artificial intelligence has already changed every aspect of our lives and almost every technological niche, so every month there are fewer areas left to explore.

Mobile development is never an exception here, and conversely, it is among the technological fields most affected by artificial intelligence, as according to a recent report by Brusselstimes, smartphones are used by more than 2,600 people every day.

So, how can we use ML and AI in mobile app development so that we don’t distract people from browsing and scrolling through media and social networks?

Today, we’re going to reveal the top secrets of AI mobile app development with our AI mobile guide, created by the research and development experts at InData Labs. Let’s eat it!

Top 5 AI use cases in mobile apps

Of course, there are more than 5 possible uses of AI in mobile apps, but we recommend that you focus on these as they can really help boost KPIs, automate workflows, and increase customer satisfaction rates.

AI-based object detection

This is one of the coolest AI features you can use to attract customers and make their digital journey smarter and easier.

With object recognition based on image recognition technology, users can quickly identify the necessary purchases, stores, objects, places and even people – all through the development of mobile AI applications, which will definitely increase the customer retention rate.

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This feature can also be useful at work. For example, medical professionals can use it to detect diseases more quickly, while builders can decide on the amount of material needed by visually calculating the size of objects and so on and so forth.

Work optimization of call centers

Everyone knows how expensive it can be to pay a call center team to help customers 24/7 with various issues and answer numerous application-related questions.

AI-driven chatbots can really be a way out here: thanks to the latest machine learning and NLP algorithms, they can easily process different types of information, structure it and choose the right answer in seconds, or switch customers to a human agent if necessary.

In other words, they are now almost indistinguishable from real people, and at the same time, they can save you a significant amount of money.

Voice and speech assistance

AI can also be useful as voice and recognition technology. You can easily handle some smaller tasks and simply make them faster.

They can also identify the speaker’s voice and sense what they are actually saying to execute the necessary commands, helping your customers use the app without having to click on it.

Enhanced security

Using AI can be very beneficial for application security. This is especially important for applications that handle digital payments and require users to enter sensitive information, such as mobile banking and online shopping. Therefore, the more secure the app is, the better.

Artificial intelligence can process huge amounts of data and recognize potential cyber threats. This helps stop attacks before they happen by notifying you and your users.

In addition, AI can increase the accuracy and efficiency of biometric authentication in the app, such as fingerprints, face scans, or other data that can be analyzed and compared to a database.

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Harness the power of predictive analytics

Analyzing performance, understanding customer behavior, and improving service delivery are important components of any business, regardless of industry.

This is especially true in healthcare, retail, insurance and finance. Analytics is a key factor in the success of these organizations.

Thanks to AI, you have access to an unlimited amount of data, on which you can easily make predictions about user behavior. This allows your application to achieve higher levels of business performance through continuous improvement.

What is the best approach to implementing AI in mobile apps?

Incorporating AI into mobile app development is likely similar to other software implementation processes, but it has some unique characteristics that must be considered to ensure success. Here are the six main steps to take:

1. Identify the challenges you need to overcome with AI

It can be tempting to use AI algorithms to improve every element of your app. However, it is essential to accurately define and prioritize the problems that AI can help address. This ensures maximum gain and prevents the integration of unnecessary and overwhelming components.

2. Analyze the quality and quantity of data available to you

Before you start developing an application that incorporates AI, it’s important to understand where your data comes from and what you can rely on.

Use data analytics tools to control the data and organize it in the most efficient way so that it can be further fed into the AI ​​component.

3. Define the indicators to be measured

To assess the value of your AI-powered application, you need to define clear goals and metrics to measure.

This will help you determine the right features to include, as it will give you a better understanding of what you want to achieve with AI.

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4. Find the right team to implement AI-driven features

Ensuring that your software team has the right background and knowledge in both AI and mobile solutions is a vital step.

It’s important to have experts in AI technologies and be able to predict potential issues and deal with them quickly if they do.

5. Work on integrations

It is likely that your AI-based application will collect data from other sources or use third-party tools. Consequently, you need to implement APIs or take advantage of custom integration technologies.

The more advanced and intelligent your application is, the more likely it is that APIs won’t be enough.

6. Track your results

You should not give up monitoring the performance of your solution. Aim for your application to meet or exceed the goals you have already set.

Therefore, keep an eye on the metrics and immediately make the necessary changes to the algorithm or any other aspect of the AI ​​component.

Drawing the line

Applying AI technologies to your mobile apps can definitely bring many benefits, such as reducing operational costs, freeing up employees from smaller tasks, and improving customer experience.

But don’t add as many AI-driven features as possible – we suggest starting with those in the article and seeing which one works better for you.

And of course, it is important to choose the right AI-based mobile app development company that can implement all the required functions quickly and efficiently.

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