Artificial Intelligence (AI) is everywhere. Whether through tools like Alexa and Siri, website chatbots, or browsing social media recommendations, you’ve interacted with AI.
But what role does it hold in the workplace? Cloud-based business process automation tools are increasing in popularity due to how well they perform repetitive tasks compared to humans. This trend looks set to continue, with the number of businesses adopting AI growing by 270% in just four years.
One area where it holds particular promise is content management systems (CMS). With how good AI is at crunching data, predicting behavior, and carrying out repetitive tasks, content teams are perfectly placed to take advantage of AI tools for their workflow.
Firstly, what is Artificial Intelligence?
For many of us, AI leads to thoughts of Skynet or robots taking over the world. Thankfully, while AI is revolutionizing the way the world works, it’s not in such a dramatic way.
Artificial Intelligence (AI) is a term describing machines performing human tasks. This umbrella term covers a range of capabilities, including:
- Machine Learning: a machine learning something based on data sets provided
- Natural Language Processing: a machine ‘reading’ human language
- Natural Language Generation: a machine writing or speaking in a human language
These capabilities make it particularly good at processing large amounts of data and managing repetitive tasks that don’t need that human creativity. By implementing an automation system, you can reap the benefits of AI on your next brand development proposal, such as enhanced customer experiences, improved worker productivity and reduced costs.
Image Source: Unsplash
The role of AI in Content Management Systems
Anyone who has had to manage a large amount of content knows that it can quickly get both overwhelming and time-consuming.
Take the example of managing an image database, like a stock photo site.
If your site has a thousand uploads a day, how do you organize it? How do you ensure users stick to the guidelines and images are tagged correctly?
One way would be to hire hundreds of people to verify each upload, but that’s costly, time-consuming and unsustainable.
Luckily AI has been developed to identify images and categorize them, making quick (and money-saving) work of those uploads.
All that leaves is the small matter of getting the images in front of the target audience, hoping they don’t get lost in the vastness of the internet.
By using cloud-native automation, an AI-CMS can complete tasks like this from virtually anywhere, making content generation quicker and easier.
There are a few more ways in which artificial intelligence is elevating content management systems.
Smart content analysis
One of the things AI is brilliant at is understanding vast pools of data warehouses.
As well as creating content, content teams are constantly attempting to determine if their content is suited to their target audience. After all, they want good quality, engaging content.
AI can already identify content’s overall sentiment and tone through analysis and suggest its suitability for the target audience.
For example, current AI tools use Natural Language Processing (NLP) for sentiment analysis, text labeling, categorization, profanity detection, and more.
It’s also crucial for quality assurance. A manual QA tester can only do so much. AI can remove the potential for errors, complete resource-intensive tasks, and be repeatable.
Image Source: Marketingcharts
Automatic image tagging and categorization
Images are vital for content in the 21st century.
There are few, if any, websites that are image-free. Not only do they elevate written content and increase engagement, but many ecommerce and stock photo sites also make a living out of the images they host.
However, for someone to find those images, they need to be tagged. The success of images being discovered depends on accurate and relevant keywords.
Despite its importance for search and SEO, image tagging is a slow and mundane process.
This is where AI comes in. Recently, image recognition tools have increased in precision, making them capable of analyzing and tagging images in seconds as well as using them for keyword metadata enhancement. It’s the ideal time for content teams to work towards RPA maturity, and get ahead of the curve.
Personalization, predictions, and marketing
Every marketing department wants the ability to deliver personalized content to its customers.
This is another area where AI is crucial. While a human can only analyze generalized data about generalized audiences, AI algorithms can track individual user behaviors and patterns.
AI can watch what each user is doing on a website or app and predict future needs and expectations. While a CMS can’t do this by itself, it can be integrated with other AI solutions in order to provide the right content at the right time.
This allows marketing departments to create dynamic content, real-time personalized recommendations, individual offers, and more.
Image Source: Marketingcharts
Content creation assistance and acceleration
Recent attempts to have AI write articles have shown that creativity is, for now, in the hands of humans. However, it can still help accelerate the content generation process by taking over the laborious and time-consuming tasks that would take content creators several hours.
AI already assists in content translation, video and audio transcription, automatic tagging, metadata creation, grammar checking, and content protection.
Searching through and processing data are two areas where AI shines. With the bulk of content generation involving topic research and editing documents, this is one area where AI can dig in its teeth.
Image Source: Statista
The future of AI in Content Management
Real-time SEO suggestions
Imagine if a CMS could analyze content while it’s being written, with recommendations for improved SEO in real-time. AI tools could highlight the suitability of words and phrases and analyze competitor content for improvements.
Having an on-hand AI to help you write effective content that ranks on the first page and outperforms competitors could soon be a reality.
Content gap identification
Despite the vastness of the internet, there are always gaps in content production. A look at any comment section shows a steady stream of content suggestions and questions that need answering.
Future AI solutions have the potential to analyze existing content and highlight gaps, suggesting new ideas to engage with a target audience to increase traffic.
Advanced analytics
CMS analytics will become more sophisticated in the future, allowing them to map the entire customer journey.
With rich data on customer behavior, understanding what each customer wants and providing personalization will become easier and more effective, increasing customer conversion rate.
Custom AI
Every business has different needs when it comes to CMS. Therefore, it stands to reason that they would need a CMS tailored to them. Custom-trained AI tools are one prospect that will help businesses customize their CMS to work best for their agreed B2B contract template.
Is AI taking over?
Workers can worry when they see AI tools take over what was once their responsibility, instilling the fear of becoming obsolete.
Currently, AI automates routine processes, like compiling data or checking grammar. Similar to how a calculator saves us twenty minutes of scrawling, the uses of AI are primarily assistive, enabling workers to focus on challenging or creative tasks.
But will AI eventually replace people?
Quite simply, the answer is no. AI is an assistive technology, not a replacement. It’s there to take away repetitive, time-consuming tasks, leaving creatives time to do what they love – creating content, rather than managing it.
Image Source: Statista
The future is AI on Content Management and more!
Businesses are customer-centric and that’s where your workers’ focus should be. AI can automate the tasks that get in the way, whether it’s hours of proofreading or poring through analytics, leading to more satisfied customers.
When it comes to content management, AI can track behaviors, provide assistance for content creation and personalization, and disseminate content in various ways. An AI-CMS can improve the efficiency of business processes, saving time, money and reducing human error. Using smart content analysis, image tagging, and categorization workers are freed up to concentrate on creative and challenging tasks.
As online users grow, so will the vast universe of data to process and categorize, and AI is the only way to do it. This makes it an invaluable tool to enhance CMS and accelerate digital transformation.
All of this means that AI-CMS is an investment impossible to ignore. Businesses that latch onto and embrace the Artificial Intelligence future will lead the way and guarantee their future success.
