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Artificial Intelligence for Mobile App Development

Artificial Intelligence has already changed every aspect of our life and almost every technology niche, leaving each month fewer areas to explore.

Mobile development here is never an exception, and vice versa, it’s among the top AI-influenced tech fields, as according to a recent report by Brusselstimes, smartphones are used by people more than 2,600 a day.

So, how to use ML and AI in mobile app development so as not to disturb people from browsing and scrolling through media and social networks?

Today we will reveal the top secrets of AI mobile app development based on AI mobile guide by InData Labs research and development specialists. Here we go!

Top 5 AI Use Cases in Mobile Apps

Of course, there are far more than 5 possible uses of AI in mobile applications, but we recommend you concentrate on these ones, as they can really help you boost your KPIs, automate your workflow, and raise your customer satisfaction rate.

AI-based detection of objects

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

Using object detection based on image recognition technology will help your users quickly identify the needed purchases, shops, objects, locations, and even people – and do all of these via mobile AI app development, which will defenately increase your customer retention rate.

This feature can also benefit people at work. For example, healthcare professionals can use it for quicker disease detection, while builders can decide on the amount of material they need by visually calculating the dimensions of the objects, and so on and so forth.

Call centers’ work optimization

Everyone knows how expensive can be paying to a team of call center agents, who 24/7 help customers solve various issues and answer numerous questions concerning the app.

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

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

Voice and speech assistance

AI can also be helpful as a voice and recognition technology. It can easily manage some minor tasks and simply make them done faster.

Plus, they can identify the speaker’s voice and detect what is actually being said to carry out the needed commands, which will help your customers use the app even without having to click on it.

Enhanced security

The use of AI can be very beneficial when it comes to app security. This is particularly important for apps that handle digital payments and require users to input sensitive information, such as mobile banking and online shopping. Therefore, the more secure your app is, the better.

Artificial intelligence can process immense amounts of data and recognize potential cyber threats. This will help to stop any attacks before they have the chance to happen, by notifying both you and your users.

Plus, AI can enhance the accuracy and efficiency of biometric authentication in your app such as fingerprints, facial scans, or other data into something that can be analyzed and compared to a database.

Embrace the power of predictive analytics

Analyzing performance, gaining insights on customer behavior, and improving service delivery are all important components of any business, regardless of industry.

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

Thanks to AI, you can get unlimited amounts of data, on which you can easily make predictions on user behavior. This will allow your application to reach a higher level of business performance with continuous improvement.

What is the Best Approach to Implementing AI in Mobile Apps?

Incorporating AI into your mobile app development is likely similar to other software implementation processes, but it has some unique features that need to be taken into account to guarantee success. Here are the six main steps to take:

1. Define what challenges should be overcome with AI

It could be tempting to use AI algorithms to enhance every element of your app. Nevertheless, it’s essential to pinpoint and prioritize the problems that AI can help you tackle. This will ensure maximum gains and stop you from integrating superfluous and overwhelming components.

2. Analyze the quality and amount of data you have

Before beginning the development of an app that incorporates AI, it is important to comprehend the sources of your data and which ones to rely on.

Utilize data analytics tools to control your data and arrange it in the most effective way so that it can be further inputted into the AI component.

3. Define the certain metrics to measure

In order to assess the value of your application that uses AI, you should establish clear objectives and metrics to measure.

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

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

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

It is important to have experts in AI technologies, as well as the ability to anticipate any issues that could arise, and to quickly address them if they do.

5. Work on the integrations

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

The more advanced and intelligent your app is, the higher the likelihood that APIs will not be sufficient.

6. Monitor the results

You should not let up on your oversight of the solution’s performance. Aim for your app to reach the targets that have already been set or even exceed them.

Therefore, keep an eye on the metrics and make necessary alterations to the algorithm or any other aspect of the AI component right away.

Drawing the Line

Implementing AI technologies in your mobile apps can definitely bring you multiple benefits, such as cutting operational costs, freeing up your employees from minor tasks, and improving customer experience rates.

But you shouldn’t add as many AI-driven features as possible – we recommend you start from these enumerated in the article and monitor which one works for you better.

And, of course, it’s important to choose a fitting AI-powered mobile app development company that can quickly and effectively implement all the features you need.

One thought on “Artificial Intelligence for Mobile App Development

  1. Very well said.
    It is a good article with appropriate information. The structure is also correctly built.
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