Improve UX with AI and Machine Learning
Imagine how long it would take for Da Vinci to create a Mona Lisa if he was painting it in 2022! And what else could have turned out on his brilliant canvas if there was someone who could do the artistic-side legwork for him – like mixing colors or finding the right temperature and spot; or not letting anyone disturb the painter at a crucial moment of epiphany? Thankfully, today’s UI-UX artists cannot just say, ‘Alas, we wish we had someone but what to do’ and walk on in despair. Instead, they have something compelling and reliable – and someone that understands art as their minds do. Moreover, they have a friend in UX development and design services to do the stuff that stands in between the real aha-moments and the artist. That someone is called AI and machine learning. Yes, AI and machine learning can leave unprecedented imprints in the life of a UI/UX project. It can take care of a lot of work that is either mundane or exhausting for the designers to focus on explosive ideas and not the grunt work of UX development. Plus, it gives them more eyes and ears than is humanly possible- so that they can view their canvas from a 360-degree lens and in real-time.
AI and machine learning for UX
It is not a balloon in the sky. It is happening. Just look at the State of AI in UX UI Design, Adobe 2019, and you will see that a vast majority of creatives report spending more than half of their time on repetitive, uninspiring, or administrative tasks. This explains why they visit these tasks as the perfect to-dos for their future AI assistants.
In a recent UXTools survey, most designers reported using software for UI design and prototyping – it turns out that software helps create, design, and specify the details of high-fidelity interfaces. Also, 95 percent of respondents reported designing interfaces with digital tools. Most designers also seem to use software for developer hand-off – it looks like these tools help designers and developers collaborate by communicating flows, interactions, assets, and other specifications. A lot of designers are also using software for testing. They are gaining new ways of engagement with real people with prototypes, concepts, research materials, or real product experiences.
AI and machine learning can help the UI-UX game a lot – and in more than one way. Here’s a quick sketch:
Design the future of UI/UX
If you are also wondering how you can enhance and deepen your UI/UX edge through AI and machine learning try the battle-tested expertise of Carvewing. With our highly advanced, well-researched, well-rounded, innovative, and future-forward solutions, we are leveraging the power of AI and machine learning in many ways for our customers. As a result, many enterprises have started optimizing workflow, reducing response time, and deepening engagement with prospects through AI-powered tools.
The complete amalgam of design experience, integration, compatibility, and intuitive ease we bring through AI and machine learning is a class apart. This is flanked well with a vast gamut of product and service design services, solid web design and application modules, world-class cross-platform strengths and AR experiences, and A-level Native app and mobile-centric design capabilities. We also serve our customers with holistic and spot-on UI consulting and well-etched workshops.
We make sure that when you use AI for a better UI/UX, you smile all the way – just like Mona Lisa, leaving the mystery of AI and machine learning hidden somewhere. To learn more about how you can harness the power of AI and machine learning improving your UX, talk to our experts today.
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