9 Benefits of Intelligent Apps to Increase User Engagement

Atif M.
5 min readSep 1, 2021

In the modern world, your current application has to work more advanced than before. Traditional applications could carry out only a few predefined functions, but your current application has to be more intelligent and work as per the users’ needs to hunt your competitors. There are several advantages of having intelligent apps that function on your behalf and boost revenue.

You might be curious to know what those advantages are. Therefore, let’s us explore them.

We live in a time where we expect to see innovative technology that can make our lives easier. From the early 2000s, innovations and technologies are moving as fast as a bullet. We all were cell phones, but now they have become smartphones. Technology has changed mobile phones’ definition when applications emerged that programmed to make a particular task to perform a specific activity.

As technology improves, all end-users and businesses are looking forward to new features and functionality from conventional mobile apps to bring more accessibility in our lives than ever before. With the rise of artificial intelligence (AI) and machine learning (ML), developers’ and software companies’ outlooks are changing. Smarts apps can learn from user behavior.

What is Artificial Intelligence?

In a nutshell, artificial intelligence (AI) is a technology that is meant to imitate human psychology and intelligence. It is a computer science field focused on creating machines that seem like they possess human intelligence. We call these machines’ intelligence “artificial” because humans create it, and it does not exist naturally.

Machine learning (ML) is a popular subset of AI. ML algorithms are computer-implementable instructions. They take data as input and perform computations to discover patterns within that data and use those patterns to predict the future.

An ML model improves its performance over time as it encounters more and more data and self-corrects on making mistakes to reduce the chance of repeating them in the future. ML is mostly used in systems that capture huge volumes of data.

After blending AI into existing applications, it became intelligent apps. Artificial…



Atif M.

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