AI in Web Applications: How It Enhances The Online World

Artificial Intelligence (AI) has made a significant transformation in the landscape of web applications. It has revolutionized how we interact and browse the internet for information, transaction, or navigation. 

The simplest way in which web applications use AI is the Google search. If you touch or type in the search box, it brings you suggestions based on the search that you made. This feature is powered by AI. 

Besides this, the way Google suggests what you intend to type further is also an AI application. It is known as the autocomplete feature and uses powerful Natural Language Processing (NLP) algorithms to uncover the magic.

So, the use of AI in web applications is unlimited and more of it is still unexplored. In this blog, we will learn how web applications are leveraging machine learning and other advanced technologies to their benefit.

Let’s get started.

1. Recommendations

The use of AI in web applications helps provide recommendations or suggestions to users. Well-trained algorithms analyze user data such as browsing history, search queries, etc to understand user preferences and behavior. Based on it, they deliver tailored content, recommendations, and product suggestions. 

This personalization enhances user engagement and retains the user longer on the web application. It also promotes user satisfaction and boosts conversion rates. 

2. Chatbots

You must have come across chatbots. They are powered by NLP models that understand and process text content so that they can interact with customers in a better manner. They provide real-time assistance, answering queries of customers and saving lots of resources.

As of today, around 85% of total online customer service interactions are performed by chatbots.

3. Virtual Assistants

Virtual Assistants can automate tasks with the help of machine learning algorithms. They also leverage NLP algorithms to understand users’ text or voice commands and generate appropriate responses.

Amazon’s Alexa, Microsoft’s Cortana, Apple’s Siri, and Google Assistant are all virtual assistants of today. Users can use them to search the web, track an order, get real-time traffic or weather updates, etc.

As of 2023, nearly 95% of web application users have a voice-powered virtual assistant on their devices. Isn’t that awesome?

4. Language Translation

Language translation is a remarkable achievement and application of AI in web applications. It uses AI-based NLP algorithms to accurately translate text between languages. 

On the web, there are no boundaries for content and business. People from different geographical locations access the websites. Language translation helps them get information, do transactions, and perform activities on the web efficiently. 

Real-time translation of live videos of conferences, events, lectures, etc. helps them consume content easily.

5. Fraud Detection

AI plays a crucial role in enhancing security measures in web applications. Modern algorithms can analyze user behavior patterns, transaction data, and network traffic to identify fraudulent activities.

They keep learning from recent experiences and adapt to evolving threats. Thus, they help in detecting and preventing various types of online fraud including identity theft, credit card fraud, and phishing attacks.

6. Content Generation

AI algorithms are transforming content generation in web applications. It has become increasingly popular with ChatGPT’s acquisition and fueled the race between Microsoft and Google for AI dominance.

Natural Language Generation (NLG) techniques enable web applications to generate human-like text content. This automation streamlines content creation processes and improves efficiency. 

At present, AI for web applications is leading content generation across verticals including news articles, product descriptions, code scripts, and automated emails. 

7. Targeted Advertising

AI algorithms can analyze user behavior, demographics, interest, preferences, and browsing history to discover patterns and meaningful relationships from it. 

These insights are put to work in targeted advertising, ensuring that the person watching the ad is interested in it and might end up buying. It helps online sellers boost their sales and conversions while making sure that every penny spent on ads comes back.

8. Searching

AI-powered search algorithms have revolutionized how users discover and access information on the web. Techniques like ranking algorithms and semantic search have enhanced the search engine’s capabilities. 

They are now able to understand user queries, context, and intent in a much better way. Thus, they can deliver more relevant and accurate search results.

Besides this, the search option on e-commerce platforms, news portals, and knowledge bases also leverages artificial intelligence to provide a more intuitive and efficient search experience. 

It learns from the search queries made in the past and incorporates continuous improvement in search quality.

9. Forecasting

AI in web applications facilitates predictive analytics to forecast future trends and help businesses to make data-driven decisions. The algorithms analyze historical data, user behavior, and market trends to help businesses know about their future customer churn, sales, demand, etc. 

In this way, forecasting helps businesses optimize strategies, make efficient resource allocations, and prepare for market changes in advance. 

10. Image Recognition

AI for web applications also includes the use of computer vision algorithms for product image recognition. Automatic product recognition allows web applications to tag and categorize visual content instantaneously and efficiently. 

Even social media platforms leverage image recognition to enable automated tagging of people and objects in the posts. It helps them provide a wonderful user experience and boost user retention.

Conclusion

The AI market will reach approximately $407 billion by 2027, up from its evaluated value of $86.9 billion in 2022. Thus, AI for web applications will play an increasingly important role in delivering personalized recommendations, real-time language translation, automated tagging, etc.  

It will be more widely adopted and adapted for automated content generation, revolutionizing search, and promoting data-based decision-making. This hints towards the rising potential of AI in web applications, which will foster innovation and transformation in the years to come. 

Anubrain Technology is an AI-based development company that works on a variety of solutions for several industry verticals. Reach out to us at connect@anubrain.com to discuss any requirements or ideas.