AI in Web Development
Today we can find some sort of AI in our day to day activities from virtual assistants like Siri and Cortana to smart home assistants like Google Home and Amazon Echo. AI is making our lives easier even when it comes to web development.
Artificial intelligence uses machine learning to observe and learn from users habits, idiosyncrasies and preferences. Using these inputs it can accomplish specific human-like tasks.
AI is being used in various industries such as health care, retail, manufacturing and banking.
In web development, companies are moving away from the traditional and exploring the use of AI. Automation in web development can ease stress and add value to user experience and design strategies.
AI is already being used in website platforms like The Grid, where color, theme and style is automatically decided based on pre-defined preferences.
Ways AI Can Improve Web Development
AI can improve web development in so many ways, here are the top 3.
Web development can be sped up with the help of virtual assistants powered by AI. Designing basic layouts and templates can be made simple including creating content based on questions answered by the website owner.
AI can be used to analyze and mine data and generate insights to eliminate irregularities in a website. It can also scan content and tell you if it is up to code according to SEO best practices.
Chatbots integrated with AI can provide superior end-user experience by learning from conversations and adapting responses and actions accordingly. Chatbots can revolutionize website experience by being able to respond to many queries and provide real-time assistance without any human intervention.
Future of AI in Web Design
The days of integrating AI in web design are only beginning. From making the design process as simple as ever to analyzing content and preferences to personalize a website, it’s only getting better.
Here are a few other features of AI in web design:
- Cognitive ability – can design beautiful graphics by using cognitive abilities such as perceiving surroundings with sensors and IoT.
- Context apprehension – understands what the user wants by considering context, which in this case can be picking colors that will suit website tone and user preference.
- Design inconsistencies – cognitive abilities can also help recognize inconsistencies in design and fix them using a combination of machine learning and content apprehension.