Artificial intelligence is actively changing modern web development, providing new opportunities for creating web solutions. Using artificial intelligence, web development has become fast, and efficient, and gives new ways to solve problems that previously couldn’t be solved without the intervention of artificial intelligence.
How exactly is artificial intelligence changing the way web solutions are developed? What new opportunities have appeared for the developers themselves? In this blog post, we’ll discuss the main benefits of implementing AI in web development and how it helps IT companies stay competitive in the digital market. In particular, we’ll mention Amazon Web Services (AWS), with which our developers have extensive experience and which give us access to powerful tools that improve the performance and functionality of projects.
Leveraging Artificial Intelligence for Superior Web Development
Amazon Rekognition
In our experience, we often use AWS services when working on web solutions. We prefer Amazon because most of our developers work in a Linux environment, during our projects development. AWS is also suitable for Linux architecture and PHP (the programming language with which we also actively work).
We also worked with AI-powered tools, and Amazon Rekognition is one of them. This feature scans the image and compares it to the database of images already existing in it, and determines what is depicted in the scanned photo. Machine learning helps recognize goods in the image and add them to the database of these images. The more users upload different pictures with different products, the easier the system is to determine what kind of product it is. The more images get into the database and the more images the system scans, the better it learns and gives a more accurate result.
Amazon Rekognition can scan and recognize objects, famous and not-so-famous people, text information, logos, and more in images. In addition, this feature can be used to moderate visual content and sort images that may be inappropriate for minors (underage people), for example.
Speaking about directions of use, Amazon Rekognition can be used for online stores, for example. Let’s assume the system sees an image with swimming goggles and sunglasses. It is already looking at the picture that it has already been given to recognize the goods on them, and comparing it with the pictures in the database, it finds something similar. The more it learns, the more accurately it can tell the difference between the swimming goggles and sunglasses.
Amazon Sagemaker and Machine Learning
The next AI tool offered by Amazon is SageMaker. It’s a tool for building machine-learning models. A machine learning model is, simply put, an instruction for a computer on how to learn and automate its processes. In general, the process of working with SageMaker is divided into several stages:
- Preparation of the necessary data (collection, processing, reformatting) before training the machine learning model.
- Machine learning model building using already prepared algorithms and frameworks. Or the developer can create their own algorithm.
- The process of training a model using prepared data.
- Optimization of the model after training, in particular, improvement of the given hyperparameters and a model architecture improvement.
- Machine learning model deployment after testing and adjusting the model.
- Post-deployment model monitoring in real-time using machine learning model success tracking tools and various deviations provided by SageMaker.
- Management and constant updating of the machine learning model that is already working.
Amazon SageMaker provides several benefits for the developer, including:
- Machine learning toolkits and machine learning model-building capabilities. This tool contains most of the models that have already been created by other people, and which are aimed at performing trivial tasks, such as recognizing goods in a picture, have already been solved and can simply be reused.
- Managed and scalable infrastructure. There is an opportunity to create your machine-learning model with the help of artificial intelligence.
- The possibility of feedback. Amazon SageMaker includes the ability to improve its machine learning algorithms and the accuracy of machine learning models with the help of a live operator.
Chatbots
Chatbots are another area where artificial intelligence is used. Chatbots are designed to give an automatic answer to a customer’s questions on a site. The robot sees what kind of question it is and gives an answer that should satisfy as much as possible. If the robot can’t cope with the task, a program uses stop phrases and stop words to automatically switch from a robot to a human operator. Among the tools used to implement chatbots in web solutions is Amazon Lambda. It is a service that provides serverless computing that reacts in response to an event and automatically allocates the necessary resources to perform the required request. A mechanism like this is suitable for a chatbot, where a person enters his request, and the program must automatically perform algorithms to provide an answer that should satisfy the user.
AI-powered chatbots allow you to reduce the burden on live operators, reduce their number, and save time for their expenses (for example, elementary payment of salary, severance pay, etc.). Although the operator is one of the professions that are in danger of disappearing due to artificial intelligence, the need for a live workforce remains, as customers have their individual needs that artificial intelligence isn’t able to solve for now. Therefore, the need for live human operators remains.
How AI Tools Are Revolutionizing Web Design
To say that web solution interface design matters to potential users is an understatement. As we have already considered in one of the previous articles on web design, artificial intelligence is one of the practical modern trends that allow us to provide visuals for the site quickly and with high quality. To create unique AI images that will distinguish your web solution from the rest of the competition, there are tools like Midjourney, Playground, etc.
In addition to images and other parts of the visual, artificial intelligence offers to create the website design itself. For this purpose, there are AI site builders such as Wix, CodeWP, etc. The first tool is mostly suitable for creating blogs and e-commerce platforms. Wix contains a chatbot that asks a user what site they want to see and what site parameters are required. Next, a user can use the AI architect option, where the user can choose the desired theme.
In turn, CodeWP is a tool that allows you to create more complex WordPress-based sites without direct coding skills and with extensive customization options. CodeWP is a paid tool, but it allows you to create 20 free AI generations per month.
Our Web Developers’ Success Stories with AI Website Builders
We have dealt with artificial intelligence while developing a platform where designers can sell their designs of landscapes and houses.
For this case, we created a machine learning model that tells the computer how to form a price. That is, if the user has chosen the price formation parameters defined by the following other parameters, in the end, they receive the recommended price. The project includes a database of projects, the design of various ready-made landscape designs, comparison of their parameters, etc. by size, area, etc. And, taking into account the cost of projects already in the database, the system determines the cost of a newly created project.
Another project we worked on was a used goods marketplace with an AI image recognition algorithm. This site was created as a marketplace, where anyone can post and sell their goods. This marketplace was built on AWS. Amazon Rekognition is connected with the project and is based on the database of pictures, it identifies uploaded images, and the goods in the image. After scanning, this algorithm highlights them with rectangles, and based on this, offers the user a list of identified goods. When clicking on this product, the description is pre-filled, and the system helps to fill it in and define it.
Unfortunately, the system no longer exists but it was a great experience.
AI implementation in web projects gives developers and IT companies a significant competitive advantage. Artificial intelligence rapidly spreads into various fields of activity, changes web development and opens up new opportunities for creating various web solutions. AI allows developers to automate routine processes and provide improved personalization of content. In particular, this applies to the recognition of objects in images, the recommendation of the right prices on marketplaces, and other functions related to machine learning and artificial intelligence. Specifically, these features are powered by AI-enhanced AWS tools.
In a world where digital presence is the key to success, using AI in web development is becoming a necessity to achieve market leadership.
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