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Website Design v/s Machine Learning: What to Expect in Future

Website Design v/s Machine Learning: What to Expect in Future

Machine learning is the most promising because of its ability to improve content and improve customization.

Have we achieved yet? Not really.

Web design is a constantly developing field. Changes are based on both the new demands that internet users have and on the technologies available to developers and designers.

ML is far from an innovative concept. Over the past years, however, a lot of progress has been made in Machine Learning. An application of artificial intelligence, ML focuses on systems that enable technology to evolve and adapt through the accumulation of data. For the process to occur no programming or human involvement is required.

So, can machine learning impact on usual website design and development? The answer is YES and here are some of the main ways in which new technologies will change the area.

Dynamic Design:

This is a fact and a company is relying on the concept to make website design automatically change on the basis of content.

Today, people can view multiple kinds of web content on multiple devices: from wearable pieces of technology like digital watches to traditional laptops and computers. Making a website match all of this media and display content in the best way possible is not an easy task. Dynamic Design is obviously the answer.

Emotionally Intelligent Websites

 

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It’s a prediction by many Industrial experts that emotionally intelligent websites will be launched pretty soon, based on machine learning and artificial intelligence.

Building an emotional connection with the audience is vitally important for every brand. When there are so many sources of information to choose among, people are not going to invest in websites and content that don’t give something in the form of emotional satisfaction.

Through machine learning and data collection, the websites of the future can become more intuitive and responsive of emotions. They may even begin revealing a personality that the audience will click with. The branding message, the content and voice, and even the color selection for website design will be based on the recognized state of mind of the respective user.

Chat bots and Guides

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This is another AI and machine learning application. This has simplified the job of web designers. It uses a Chabot to guide the user through the development. By asking questions and making suggestions.

We have seen many fields gaining prominence on chat bots.  The responsive chat bots that represent brands on Face book are just one example.

Chat bots and Artificial Intelligence solutions are making design more readily accessible to individuals who don’t have that much knowledge or experience in the field. They usually come in combination with drag-and-drop website builders that increase the intelligibility even further.

Websites That Build Themselves

With all of these advanced technological solutions, we’re confidently making steps in a brave new direction:

Without human involvement websites are capable of developing and upgrading themselves.

Such projects are still in a limited phase and more work will be needed to ensure the quality and the usability of the outcome. Some components of self-designing websites, however, are already here and they’re being utilized by development companies.

At the time, artificial intelligence can take care of tedious, repetitive tasks that take up too much time without demanding an awful lot of creativity. Eventually, the scope of AI applications will expand to more creative tasks that currently are necessary for the involvement of experienced professionals in the field.

Conclusion

Are we there yet?

No.

But more steps are being made to increase the level of automation and make website design readily accessible by everyone. Machine learning is incredibly promising because of its ability to enhance content and upgrade customization. In order to make the most of it, however, developers will need to gain information in a way that computers do. This approach will eventually lead to an even more advanced level of machine learning that will contribute to the more intuitive execution of web design projects.

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