The Automated Future of UX with AI and Machine Learning

Posted By : Vikas Verma | 30-Jun-2020

UX with AI technology

 

 

Artificial Intelligence (AI) is propelling a great force of transformation across business verticals from the front line to operations and backend. User Experience (UX) is one such essential business element reimagined by AI to enhance the impact of digital business manifolds. Backed by algorithmic advancements, UX with AI and machine learning is evolving the digital landscape with intuitive automation, data-driven analytics, and seamless customer interaction. 

 

As an emerging artificial intelligence development company, Oodles AI uncovers the potential of AI in augmenting the value of UI and UX for digital businesses. 



 

Evolution of UX With AI and Machine Learning

 

Artificial Intelligence (AI) and machine learning development has made it easy for data to be collected based on behavior, demographics, patterns, and many other features.

The main idea is to make sure that all customers get a clear user experience based on the behavior taken from previous customer history. In this way, all aspects of users' behavior are transferred to algorithms that produce useful patterns.

After that, all patterns are transmitted with the help of communication and the later stages are transformed into functional features and services that help organizations maximize their user experience.

 

 

Top Business Tools for Automating UX with AI and Machine Learning

 

  1. Voice Recognition Software

 

We now have devices like the Amazon Echo in our homes. All our computers have the option of a voice search by Alexa. You will be hard-pressed to find a new phone that does not offer voice recognition and search terms. Finally, and perhaps most shockingly, some TV shows have the technology available to help people find their favorite shows.

 

Voice recognition software is growing in popularity due to improved accuracy. If you had to repeat the same word or phrase over and over, you wrote it, didn't you? Since machine learning in this technology uses other people's language to predict what the other person can say, the results are much clearer than before. The result? People who use voice search save time and have improved experience when using this software.

 

 

  1. Predictive Purchase

 

Marketers around the world are happy to be able to predict effectively what a customer would want to buy when they visit their website. Amazon is probably the best example of this technology in action. Have you ever checked your list on Amazon and seen some great product suggestions you haven't heard of? This is an Amazon machine learning algorithm that predicts your future purchases.

 

Amazon's technology platform looks at the purchases made, the products on your list, and your reviews. But there are plenty of business owners who use this technology on their website to predict their customers' products based on the blog content they read on their site or the products they view.

 

According to a segmentation report by Segment, offering customized products and services can improve customer loyalty, increase revenue, and improve user experience.

 

 

  1. Semantic search

 

Search bars are a great addition to any website as they provide more relevant results than the standard navigation system. Bar search users are looking for information or buying purposefully - they're not on your site to browse; they actually know what they want.

 

Having an easy-to-use search experience produces more happy customers or visitors and creates much more valuable energy for returning customers. Semantic search improves search accuracy, and consequently increases user satisfaction, with a deeper understanding of context and context.

 

 

The Future of UX with AI and Machine Learning

 

Nowadays, customers are seeing complete user preferences, and it's easy to guess what ML and AI are that are refining the user experience. According to an IDC study, businesses that tap into the capabilities of advanced technologies such as ML and AI and predictive analytics impact have an expected success rate of 65% compared to those that rely on conventional technology.

Apple Maps and Auto Corrections suggestions are just plain and contain all the hidden data that can be analyzed using AI. Smart home assistants such as Alexa are in the stage of emergence and are most active with good voice-related performance.

 

 

Conclusion

 

Without a doubt, AI has improved our lives in ways large and small. As business owners and developers get more use of machine learning and learn to master the tasks at hand, we expect machine learning to continue to grow at a rapid rate over the next decade. The fun thing about this technology is that the possibilities are endless.

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