How AI impacts the web design industry
AI is the future of the digital world and has seen a staggering growth of 270% from 2015 to 2019 in terms of businesses using or planning to use AI in their processes (source: Gartner). With every economic sector as well as private spheres being swept over by AI, web design and development is likely to be one of the areas that get directly impacted, not only because AI is the product of it, but also because it has countless applications in terms of providing optimum user experience, increasing productivity and boosting ROI. Let’s find out more.
Artificial Design Intelligence is a technology that uses Machine Learning to make websites on its own. The algorithm lets users choose the right template for web design based on a few questions, creating ‘smart websites’. Even though this technology is still in its early stages, it has great potential for endless customisation and stunning results. They can be used for simple websites currently but will advance with more AI-powered features for design. As a leading example, Wix’s ADI lets designers use thousands of permutations to create designs based on inputs received by the inputs at the initial stage.
In other cases, designers can accomplish tasks efficiently and quickly with AI-enabled prototyping instead of physically doing it. Another way in which advancements in Natural Language Processing is helping in the context of web design is that systems can better understand the context, style, and semantics of inputs received in order to enhance dynamic and self-learning design.
The use of AI chatbots in businesses is commonplace now since it’s effective in not only speedily responding to the user’s questions but also for predicting correct reactions to the question. Lately, alongside graphical chatbots, the use of voice-activated bots is also being used in interface design. Companies use chatbots as an instant communication tool, thereby cutting down the cost of customer care services while providing 24/7 customer service. Using analytics for bots, designers can track, analyse and understand user behaviour to further enhance UX/UI flows as well as the quality of experience. AI advances have also given a boost to s new breed of chatbots that can recognise human emotions and facial expressions in order to take the digital browsing experience to the next level.
Recommendations and optimization
AI-powered solutions are especially useful when it comes to providing a highly customisable web experience to users. Services like Netflix, YouTube, Spotify, Pinterest, etc., rely heavily on AI algorithms to provide accurate recommendation for the specific needs and tastes of a user. Through extensions and search/purchase history, ML tools can quickly make suggestions as soon as the user interacts with the website/app. They have proven to be extremely useful in influencing purchase decisions. Google’s Cloud AI even claims ‘machine learning models can correct for bias and seasonality and excel in scenarios with long-tail products and cold-start users and items.’
AI in coding
Web design is only one part of the entire development process. Coding is the backbone. There are several AI applications in the market that can generate code themselves after searching through databases. Developers can leave self-coding applications like DeepCoder and Bayou to do automated routine tasks or tiresome coding in order to increase their productivity. Although, it would be too early to say that AI can actually create production-worthy code yet. However, coding assistants and code completion tools powered by AI can truly assist developers in editing, fixing code, reducing errors and achieving results faster across IDEs.
For companies to serve and understand customer needs, AI tools can do a lot in terms of social listening, increasing usability and overall experience. AI algorithms can identify the best images that would interest users, and create tailored pages based on image recognition. Designers can get done critical tasks like creating wireframes and mood boards through NLP. AI planning tools help with dynamic and flexible design through a library of pre-built components and ready-made prototyping across platforms and IDEs. This frees up the designer’s time for more innovative features and concepts. AI-powered tools for designing can automatically generate color palettes, create clickable interactive prototypes and auto draw designs.
Web diagnostic tools
These are highly popular for test automation and quality assurance, but they are useful for the maintenance of web design standards as well. For instance, AI tools can monitor your designs, check code quality, and suggest further corrections and improvements based on analysis.
All said and done, AI can positively benefit designers in multiple ways, however, it is not yet at a stage that it can completely eliminate the need for programmers and designers. Using new inventions in AI in web design most certainly will produce faster, better, and smarter digital products in the future.