Introduction :

Artificial Intelligence (AI) has gained worldwide exposure over the years.we are seeing the increasingly advanced application of AI incorporate mainstream computing.we examine how website development is benefiting from artificial intelligence (AI).

Modern mainstream website development has focused on the building of a customer-facing front-end presence on the Internet and the integration of the front-end with enterprise back-office operations.

 

What is Artificial Intelligence?

 

Artificial Intelligence is an area of computer science to create intelligent machines that work better than humans. It combines a number of goals like problem-solving, reasoning, knowledge representation, planning machine learning, natural language processing, motion and manipulation, perception, social intelligence, creativity, and general intelligence.

 

Artificial Intelligence in Web Development

Error Handling :

Machine Learning, a branch of Artificial Intelligence, offers another advantage in person-machine interactions.

Without learning capabilities, applications will approach a problem in the same way time after time, and make the same mistake without modifying or optimizing the solution based on prior experience.

Machine Learning is an enabling technology that allows web applications to adapt over time by observing and learning from users’ habits, idiosyncrasies, and preferences. User experience improves as a result of the applications just being smarter.

 

Ready To integrate Plugings :

The potential of commercializing AI did not escape the attention of the top global web technology players. Google, Facebook, and companies of that ilk have come up with AI toolkits that enable the plugging of ready-made natural language understanding and machine learning features into web applications.

wit.ai and Dialogflow (formerly api.ai) are free services owned by Facebook and Google respectively. In contrast, Amazon Lex, IBM Watson, Microsoft LUIS are commercial paid services.

The AI toolkits offered by global industry leaders have made possible the adoption of AI in enterprise web applications. You no longer need to hire AI PhDs to empower your websites with natural language understanding capabilities.

Instead, mainstream web developers can integrate AI into chatbots on your existing web and mobile technology platforms. Developers do not need to be retrained to code in esoteric AI programming languages to take advantage of the technology. Instead, they work with APIs and tools which they are already familiar with, for instance, Python, Ruby, C++. Java, .Net, Node.js, JavaScript, CSS, HTML

Challenges in Integration :

A more formidable challenge for integrating the toolkits is that the software requires additional customization in order for it to understand the specific concepts in your particular application domain. These toolkits are designed to be general-purpose starting points for understanding day-to-day language constructs, and may not be specific enough to parse the domain-specific concepts or the typical tasks that your web visitors may wish accomplished.

Consequently, human trainers must provide the software with a concept hierarchy that is specific to your application. In addition, to improve the accuracy of sentence parsing for your particular application domain, trainers must explicitly provide sentence examples of the typical requests that your applications are designed to handle.

This training component is very time-consuming and tedious, yet necessary in order to reduce the chance of errors in understanding customers requests.

To overcome the initial training hurdles and to jumpstart the adoption of AI toolkits, toolkit vendors have started to provide pre-built domain models that target specific industries and tasks. For example, Dialogflow offers pre-built agents that target industries such as coffee shops, restaurants, hotels, airlines, and common tasks such as product support, map navigation, web search, etc. Microsoft LUIS features pre-built domains for taxis, restaurant reservation, movie theatres, fitness tracking, etc.

The trend to provide prepackaged domains will definitely shorten the time to deploy AI functionalities in web applications.

Applications of Artificial Intelligance in Web developement :

1.Web Coding Redefined With Self Learning Algorithms

A number of tasks, such as adding, updating database records, as well as identifying the code snippets that would help solve a problem are some of the points where artificial intelligence can be applied.

Web developers can make use of these predictions to formulate a perfect solution. The AI algorithms can be used to develop codes, which modify and alter from scratch and transform into a fully functional code, without the need for any manual interference. This will help developers to build apps and bots that are smarter and can run at faster rates than any other human-induced codes.

But this is possible only if the machines get some good data sets – also it depends on the intelligence of the design and as the training gets better, the results improvise. This is where web developers can now relax.

2.AI in Web Design :

But it sometimes happens that you are great at web development, however, you lack the designing skills. Artificial intelligence solves this concern. Most of the developers are of the opinion that is one heck of a job to design basic layouts and templates for their web pages.

For simplifying these tasks, a number of AI tools, including virtual assistants are available to help you simplify the entire design and development process.

AI virtual assistants are capable of creating personalized content combining brand, design, layout and content that the user expects by thinking and asking questions from the user perspective and then acquiring content that represents these answers well, a customized experience is offered.

 

3.Requirement Gathering and Analysis Can Be Automated Using AI

Usually, the process of gathering your user’s requirements and stories is a complex process. But what if you can automate these processes of collecting the necessary client requirements without any human interference just with the help of a voice assistant that is AI-powered chatbot.

It would further help you by providing a detailed description of the data that has been collected, using various data extraction tools, which will help in generating ideas to enhance web design and development strategies further.

A combination of NLP, machine learning, artificial vision, algorithms and image recognition tools can be applied to get this through.

 

Future of Artificial Intelligence

The rise of AI-enabled software has the potential of revolutionizing how customers interact with online enterprises. It is not inconceivable that, in the near future, a chatbot is the first point of contact between the customer and the online enterprise.

The chatbot will analyze the needs of the customer based on prior natural language interaction, whether it be for product inquiry, troubleshooting, or sales. The chatbot has self-knowledge of its own capabilities and limitations and will resolve all issues that are within its capabilities.

For those issues that it cannot resolve, the chatbot will escalate them to the appropriate second-level human analyst for successful resolution. AI-enabled chatbots can be the next-generation enterprise digital assistants of your brand on the Internet.