Artificial Intelligence is no longer a technology of the future. - It’s already here and it has significantly improved certain aspects of businesses.

Of all the improvements that AI brought along with it, however, user experience (UX) is one of the most impacted ones.

Using AI, companies are seamlessly adapting to changing trends and user behaviors to improve the user experience of their applications.

Although, artificial intelligence doesn’t automagically create a better user experience, and this is where machine learning comes to the picture.

Machine learning is a subset of AI that predicts future data based on users’ past behavior. Now in the technology world, there are literally countless use cases of machine learning.

But in this article, we’ll focus on how AI & Machine Learning can improve the user experience (UX) of an application.

What is User Experience?

User Experience, in laymen’s terms, is a way to influence how users feel when they interact with an application, website, or software.

UX is, in fact, the best tool to create a positive experience for customers so that they remain loyal to a brand.

And since we live in a customer-centric era, it is imperative to consistently focus on learning more about their audience’s demand to deliver the best possible application, product, or services to satisfy their needs.

And now, companies & brands have a more powerful means to deliver better UX, all thanks to rapid innovation in AI & Machine learning.

How AI & Machine Learning Can Improve UX?

AI & UX shares the same goal in a way. - Both have been created to interpret what users do and predict what they are most likely to do next.

It’s like an intersection that creates an opportunity to design a better user experience.

But, the question still remains unanswered! -

What makes it possible for AI & Machine Learning to enhance the UX of an application?

Here’s the answer.

1 - Intelligent Algorithms

The process of creating better user experience comes down to writing smart AI algorithms using machine learning.

A smart AI algorithm can process data about app users, apply changes to the model in a certain way to optimize consistently and provide a better user experience.

Simply put, by writing a smart AI algorithm, your app can continually learn and adjust to improve its user experience to satisfy users’ expectations and provide a more personalized and engaging experience.

2 - Deep Learning

Deep learning is a part of machine learning methods. And by using deep learning, Artificial Intelligence can analyze thousands of different design variations and also generate alternative based on the data.

Simply put, by pairing deep learning with behavioral insights, Artificial Intelligence can identify new ways to connect with users.

For example, you can apply deep learning in many facets of your app’s UX like buttons or graphics of your app to discover which elements boost user engagement in your application.

3 - Complex Data Analysis

Before the arrival of Artificial Intelligence, UX designers used metrics and tools such as usage data, heat maps, usability tests, and A/B tests to improve user engagements in their applications.

But these methods are most likely to be replaced by AI & Machine Learning mainly because Artificial Intelligence can not only collect more data but it can also generate better insights with it.

For example, one way you can use AI to improve UX of your app is by tailoring the design according to each user’s specifications. As a result, you will end up creating better UX at a much faster rate than any other tools or metrics.

4 - Deeper User Connection

AI, together with machine learning, can analyze a vast amount of data through which it can help you establish a deeper connection with users of your mobile app by enhancing their relationship.

Netflix, for example, has created a highly predictive algorithm using AI to build its most famous recommendation system.

As a result, more than 80% of TV shows that people watch are actually discovered through Netflix’s recommendation system.

To create such a complex recommendation system, Netflix first split its users into 2000+ taste groups. Then, Netflix used machine learning and AI algorithms to break users’ preconceived notions to identify shows that they might not have initially picked.

5 - User Support

Chatbots with Artificial Intelligence has become the most popular way to improve user experience.

In laymen’s terms, the AI algorithms deployed in chatbots helps to grow and learn from users’ past interactions and provides better user experience as a result.

If you think about it, chatbots are way beneficial than human user support representatives. For example, chatbots can work 24/7 and are also immune to stress & frustration from unruly users.

The best part is, implementing AI chatbots in an application is easiest among all other use cases.

So, if you’re not completely sure about embedding AI technology in your app but want to test the possibilities, chatbots are the ideal starting place.

Conclusion

For years, technology has helped us automate repetitive tasks so that we can focus more on the strategic side of the business.

And as far as UI/UX design is concerned, AI and Machine Learning have indeed helped in designing experiences that are not just relevant & personalized, but also smart & efficient.

The bottom line is, it’s time to adopt AI in your app and find opportunities to make it work for you and not be afraid of it!