Artificial Intelligence for online applications

Artificial Intelligence for online applications

Artificial Intelligence for online applications

Web technologies are developing at an unprecedented rate. More and more customers today need scalable, secure apps with many functions for more and more tasks. On the user side, too, there is a growing desire for intelligent and feature-rich web applications that deliver fast results and are perfectly tailored to the individual user.

With the changing needs of customers and users, who increasingly expect individualized content and intelligent applications, web developers have to think beyond their proven solutions and turn to new technologies and methods that can best personalize services and products. 

Above all, it is methods of artificial intelligence (AI) that take web applications to a new level, with a particular focus on the user experience. Before we explain how AI can be used for web applications, at least a rough understanding of how artificial intelligence works is necessary.

What is artificial intelligence?

When people talk about “artificial intelligence” today, they mostly mean programs that open up their rules for producing a result themselves based on large amounts of data (“machine learning”). 

In order to deliver meaningful results, such systems must first be trained with data, which forms the rules for processing and weighting inside the system (for example, an artificial neural network). 

For example, a program that should recommend a buyer to products that meet his interests must first be trained with thousands of other users’ purchasing decisions in order to “learn” who decides on Product A, is usually also interested in Product C or Product D. 

AI supports natural language processing in chatbots

Whether in the internet search, an order process or in customer service – the voice-based interaction with web applications by so-called chatbots or voice assistants is becoming increasingly popular. People use their experiences in the process of understanding. Digital language assistants, on the other hand, use AI algorithms and processes to recognize the meaning of written or spoken language. They recognized and learned patterns for the analysis of meaning beforehand based on large amounts of data.

Chatbots are the smarter the more they are able to have a natural-looking conversation. The best is awarded the Loebner Prize annually. For the fourth time in a row and for the fifth time in total, he went to  Mitsuku by Steve Worswick in 2019 .

A number of service providers have specialized in the implementation of AI-based chatbots. In the meantime, you can also program AI bots yourself using platforms such as  wit.ai ,  pandorabots  or  Dialogflow  .

Artificial intelligence supports e-commerce web applications

E-commerce companies use AI-based technologies to improve the user experience of customers when visiting online shops. For each individual user, the filter options of the displayed products change using AI processes. 

But AI also helps to improve customer communication in e-commerce beyond individualized purchase recommendations, for example through AI-supported e-mailings. 

The goal is 1: 1 communication like in stationary retail – The customer should be served personally and individually and also experience this feeling. In many common shop systems and e-commerce platforms, self-learning algorithms already calculate recommendations that exactly match the previous behavior of a particular user in the shop and on the website. 

Multi-language support for web applications by AI

Many web applications today offer automatic translations of their content. Services such as the  Microsoft Translator API  or tools such as  Google Translate take over the automated translation and can be easily integrated into various applications. 

The source and target languages ​​are automatically recognized and texts are also translated into languages ​​with other character systems. 

Artificial intelligence in image recognition

Another contribution of AI-based technologies, which many companies already use in web applications, concerns the area of ​​machine vision. Algorithms analyze images and look for similar patterns in them. 

There are many applications for image recognition, the best known of which are image search on the Internet and face recognition. Image recognition also plays a major role in production processes. In quality control, it often replaces human jobs.

Outlook – AI drives personalization of web applications and web development

AI is a pacemaker technology and is developing rapidly. Already today there is hardly a web application that does not contain any AI technology. It can be assumed that the AI ​​algorithms will continue to improve in the future and that the personalization of web applications will continue to advance as a result.

The use of AI technology also plays an increasingly important role in web development. The palette ranges from AI-based design designs to AI-based SEO optimization and troubleshooting to the protection of websites using AI technology. 

Here, too, web developers and website operators are required to keep up to date with the latest developments in AI and its possibilities.

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