Artificial Intelligence has been identified as a key driver of the digital revolution, and its use in web development promises to change how enterprises can modify their digital footprint. From near-esoteric beginnings in the movies as a tool for creating killer robots and apocalyptic missile systems, AI has come much closer to our homes, indeed within the sphere of our daily life.  

Image and speech recognition, large scale data analysis, and even web development.  The ability of machine-learning powered systems to model and predict real-time events using large and complex datasets has led to its increased popularity.

The Growth of AI

The ability to impart systems with a human-like, experience-based, learning curve is what sets AI apart from the other technologies behind the digital revolution.  AI leverages the power of NLP and Machine Learning to allow systems to identify patterns and classify different kinds of tasks. 

This inherent ability to understand what is required to be done, along with continually improving performance by learning from past experiences has allowed AI to be a game-changer in several domains. With its credentials established in various fields, AI is all set to transform the world of web design and development.

AI for Web development

Benefits

The primary benefit of AI web development comes from making the web application itself a smart system, rather than employing a smart system to work behind the scenes. An interesting example is the fact that customers tend to use Amazon’s internal search engine to search for products rather than using a generalized search engine. Some benefits that AI provides to conventional web applications are:

  1. Faster search with ML-driven pattern recognition.
  2. Improved visitor interactions with AI-powered customer engagement tools.
  3. Personalized user experience through recommender systems.
  4. Targeted customer actions and marketing based on user analysis.
  5. Continual learning through experience and new situation-based datasets.
  6. Smarter choices by robust decision-making processes.
  7. Improving accuracy of choices made for situation through deep learning and neural networks.

Implementation

Some ways in which you can implement Artificial Intelligence in web development are enumerated as follows:

1. Website Development Machines

AI-based assistants help design teams to make improved designs, layouts, and identify market trends. Expert systems also act as professional consultants to development teams, helping refine the development process. Chapter247 Infotech offers a wide variety of in-house AI algorithms to help improve web development choices.

2. Coding with Self Learning Algorithm

Self-learning algorithms, powered by reinforcement learning techniques, can help automate basic tasks and reduce manual effort. This reduces turnaround time as well as costs and helps building sites from scratch a whole lot easier.

3. Enhancing User Experience with AI-based Chatbots

AI chatbots can help improve and enhance the user experience by offering a highly responsive and personalized user journey. By providing prompt and useful responses to user queries, round-the-clock assistance and customizations, they help to provide the user with several reasons to keep using your site for their business.

Read More about Chatbots at: 3 minute guide to understand what is a chatbot

4. Automating Testing & Quality Assurance Tasks

AI can help automate unit as well as system testing. Large number of browser-testing scenarios can be performed rapidly and comprehensively using smart automation testing tools.

5. Providing Best User Experience with Artificial Intelligence

User experience is defined by providing customized user journeys to your customers. This is facilitated by using deep learning to obtain a comprehensive understanding of the consumer’s choices, personality and requirements. Self-learning algorithms also help in improving the UX with every user handled.

6. Enhancing User’s Experience with Artificial Intelligence

Apart from chatbots, AI can understand user behaviour and action patterns and help provide appropriate recommendations to users.

7. Research Driven by Machine Learning

Consumer research is vital to customer retention. ML-driven algorithms help in understanding customer behaviour patterns and create more efficient recommendation systems.

On a closing note

For a truly successful implementation of AI web development, it is important to hire a custom software development partner with experience in both web development as well as the use of AI for businesses.

Chapter247 Infotech has built up a sterling reputation as a world leader in web development with proven expertise in cutting edge technologies like MEAN stack and MERN stack. Our expertise in AI has allowed us to make responsive, context-oriented chatbots for companies like FedEx, TESSA and QIPOST.

Contact us to get the best of both worlds and boost your business.

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