Machine learning has been quoted in the list of one of the most intriguing concepts of 2021. Be it offering a better user experience or how machine learning can tweak the UI design of your website. Machine learning solutions always enter as a source to settle everything.
The machine learning market anticipated to grow from $1 Billion in 2016 to USD 9 Billion by 2022, at a CAGR of 44% during the forecast period, and is likely to reach USD 117 billion by the end of 2027 at a CAGR of 39%.
Having said that, today, why don’t we frame how machine learning is helpful in tweaking the UI design of your website. Let’s get started with the importance of machine learning:
What is UI i.e user interface?
User interface (UI) design is the procedure designers use to develop interfaces in software or computerized devices, focusing on looks or style. Designers aim to create interfaces that users consider easy to use and pleasurable. UI design refers to graphical user interfaces and other forms.
Let’s take a look at the stats how artificial intelligence and machine learning solutions are being helpful in terms of better UI and others:
Around 70% of Americans are using digital assistants regularly to get their work done rapidly and efficiently.
97% of mobile users are using AI-driven voice assistants.
According to the Algorithmia survey (2020), the prime challenges of machine learning adoption are
Scaling models (43%)
Versioning and reproducibility of models (41%)
Getting organizational alignment and senior buy-in for ML initiatives (34%)
As near as dammit, 3.25 billion people are using voice-activated search and assistants worldwide, almost half of the world’s population.
85% of customer interactions will be done without human interference.
4 ways machine learning solutions can be helpful in tweaking UI design
Machine learning solutions can program a computer or application to learn data that it can use to personalize the user experience. Consequently, users will spend less time searching for what they’re looking for and more time engaged in what interests them.
For instance, consider a user who browses the apple smartwatch and recently bought a Macbook pro. With machine learning solutions at work, their app homepage will display products such as iPhones or Apple Ipads.
Thus, it can strike users to pick some of their products for the wishlist for purchasing. This is the importance of machine learning solutions, and websites like Amazon and eBay do second with that and apply machine learning solutions in their businesses.
Machine learning solutions can automate the process of personalizing and optimizing a user interface. And, the outcome will be nothing more than an improved UI interface, as users can get more relevant recommendations.
Image-recognition technology enables the software to recognize objects, places, people, and other images on the spot and perfectly. It’s just like how the human brain looks for a pattern, color, texture, or size to identify an object. It’s all because of machine learning solutions and artificial intelligence, mobile apps can leverage this technology to identify objects in the real world.
The technology can be essentially useful in the retail industry. For example, a mobile app could recognize multiple products that users can find with their mobile devices and add them to their cart for an easy and smooth shopping experience.
Artificial intelligence and machine learning solutions are known for their smart algorithms that make everything work seamlessly. Likewise, artificial intelligence’s smart system can process information about app users accurately, then apply changes to the design in ways that optimize it for future purposes.
By continuing learning, artificial intelligence uses its algorithms and helps AI engineers to create a better UX for mobile apps that provide a more engaging experience than the previous one.
An Adaptive User Interface
Developers can also use machine learning solutions to tailor the look of a mobile app, meaning that the UI design may vary depending on which elements appeal to a particular user. Adaptive user interfaces, as they are being addressed, use machine learning solutions to identify the device, operating system, and platform that a person is using and adapt accordingly.
Moreover, the algorithm analyses the stylistic and visual preferences of a user by asking them questions via a survey or by requesting feedback. This information is used to further personalization in UI design.
So, these ways are completely justifying how machine learning is being helpful and in terms of optimizing the user interface. If you find this helpful and understand the importance of machine learning and if you are looking for machine learning consulting, you must reach out to optimum consultants. Let us know what is your take on this!
Mahipalsinh Rana has more than fifteen years of experience in Enterprise software design and development. Currently, he is CTO at Inexture Solutions LLP. He has been Enterprise Solution
Architect with wide experience in Elasticsearch, Solr, Liferay and Python technologies for more than 10 years. He is a co-author of Liferay Beginner’s Guide book. He likes to spend his free time reading corporate books and playing cricket.