With enterprises looking for ways to stay ahead of the curve in the growing digital age, machine learning is providing them with the needed boost for seamless digital customer experience.

Machine learning algorithms can transform your Drupal website into an interactive CMS and can come up with relevant service recommendations targeting each individual customer needs by understanding their behavioural pattern.


Machine Learning integrated Drupal website ensures effortless content management and publishing, better targeting and empowering your enterprise to craft personalized experiences for your customers. It automates the customer service tasks and frees up your customer support teams, subsequently impacting RoI.

However, with various big names competing in the market, let’s look at how Amazon’s Machine Learning stands out amongst all and provides customised offerings by integrating with Drupal.

Benefits of Integrating AWS Machine Learning with Drupal

AWS offers the widest set of machine learning services ranging from pre-trained AI services for computer vision, language, recommendations, and forecasting. These capabilities are built on the most comprehensive cloud platform and are optimized without compromising security. Let’s look at the host of advantages it offers when integrated with Drupal.

Search Functionality

One of the major problems encountered while searching on a website is the usage of exact keyword. If the content uses a related keyword, you will not be able to find it without using the correct keyword.

This problem can be solved by using machine learning to train the search algorithm to look for synonyms and display related results. The search functionality can also be improved by using automatically filtering as per past reads, the search results according to the past reads, click-through rate, etc.

Amazon Cloudsearch is designed to help users improve the search capabilities of their applications and services by setting up a scalable search domain solution with low latency and to handle high throughput.

Image Captioning

Amazon Machine Learning helps in automatic generation of related captions for all images on the website by analyzing the image content. The admin would have the right to configure whether the captions should be added automatically or after manual approval, saving a lot of time for the content curators and administrators of the website.

Amazon Rekognition helps search several images to find content within them and easily helps segregate them almost effortlessly with minimal human interaction.

Website Personalization

Machine learning ensures users get to view tailored content on websites as per their favorite reads and searches by assigning them unique identifier (UID) and tracking their behaviour (clicks, searches, favourite reads etc) on the website for personalized web experience.

Machine learning analyzes the data connected with the user’s UID and provides personalized website content.

Amazon Personalize is a machine learning service which makes it easy for developers to create individualized recommendations for its customers. It saves upto 60% of the time needed to set up and tune the infrastructure for the machine learning models as compared to setting own environment.

Another natural language processing (NLP) service that uses machine learning to find insights and relationships in text is Amazon Comprehend. It easily finds out which topics are the most popular on the internet for easy recommendation. So, when you’re trying to add tags to an article, instead of searching through all possible options, it allows you to see suggested tags that sync up with the topic.

Vulnerability Scanning

A website is always exposed to potential threats, with a risk to lose customer confidential data.

Using machine learning, Drupal based websites can be made secure and immune to data loss by automatically scanning themselves for any vulnerabilities and notifying the administrator about them. This gives a great advantage to websites and also help them save the extra cost spent on using external software for this purpose.

Amazon Inspector is an automated security assessment service, which helps improve the security and compliance of the website deployed on AWS and assesses it for exposure, vulnerabilities, and deviations from best practices.

Voice-Based operations

With machine learning, it’s possible to control and navigate your website by using your voice. With Drupal standing by its commitment towards accessibility, when integrated with Amazon Machine Learning features, it promotes inclusion to make web content more accessible to people.

Amazon Transcribe is an automatic speech recognition (ASR) service. When integrated with a Drupal website, it benefits the media industry with live subtitling of news or shows, video game companies by streaming transcription to help hearing-impaired players, enables stenography in courtrooms in legal domain, helps lawyers to make legal annotations on top of live transcripts, and enables business productivity by leveraging real-time transcription to capture meeting notes.

The future of websites looks interesting and is predicted to benefit users through seamless experience by data and behavior analysis. The benefits of integrating Amazon Machine Learning with Drupal will clearly give it a greater advantage over other CMSs and will pave the way for a brighter future and better roadmap.

Srijan has certified AWS professionals and an expertise in AWS competencies. Contact us to get started with the conversation.

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