How AI is Transforming CMS and Making Content More Accessible

An organization accumulates domain and operational knowledge over time. While the quantity of organizational knowledge grows exponentially, an organization’s ability to realize value from that knowledge diminishes due to the growth and sheer amount of the knowledge.

Those who have succeeded in managing their knowledge have implemented sound strategies and best practices that consider the power of effective knowledge management in the digital workplace.

One revolutionary approach that forward-looking organizations have embraced is the deployment of AI to improve of even totally replace CMS and make content more accessible

Let’s look at the power of the AI engine and some of the essential best practices in enterprise content management:

How AI is transforming CMS and making content more accessible

The digital workplace is driven in many ways with various forms of content. From customer service to sales and marketing, various teams in organizations work with different kinds of content to accomplish their tasks.

For a long time, the traditional Content Management Systems were the go-to solutions for managing the huge volumes of content that cumulatively make up the enterprise knowledge. While the CMS systems have been great, the rise of AI engines is bringing a rapid shift that is gradually replacing CMS. We are staring at a future where thanks to AI powered content management engines, content will be more easily accessible and usable.

Here are some of the revolutionary ways that AI engine is transforming content management:

1. AI automates content management

Thanks to AI algorithms and technologies like natural language processing, you can deploy AI to automate the creation and management of content.

AI makes it easy to manage huge volumes of information, from creating product descriptions to curating content for employee training and so much more.

2. AI enhances search and discovery

Search is a valuable part of any content or knowledge management ecosystem. WIth AI, what you want to achieve is AI-powered search and discovery.

The good thing with AI algorithms is that they have the capability to understand the intent behind a search. Why is this important? When the enterprise search system is able to understand the search intent, it can return relevant results regardless of how the query is phrased. This way users can discover valuable content that would have been impossible to find with traditional tools.

As an example, picture a discussion between two persons in English. One person is a native English speaker while the other is not a native English speaker. The native English speaker, while listening to the other party, will naturally tend to focus more on the intent of what the other party is saying as opposed to the fluency of their speech. This is the exact thing that AI does. With natural language processing capabilities, the AI-powered search engine will focus on understanding what the user wants and not how the user phrased their request.

3. AI personalizes user experiences

Why is personalization important in content experiences? Well, personalization is crucial because different users seek different experiences when interacting with information. This is because each user seeks content for different purposes. For example, a finance worker may need the results of their search to come in a format that is suitable for their work. A marketer will also need a different format.

With AI, it’s possible to achieve different experiences for different users. This level of customization enhances engagement levels. More engaged employees will be more productive.

For example, an AI-powered content management system can recommend relevant information based on a user’s unique work design or interests. In this regard, a user who likes to back their work with lots of current facts will get recommendations that enable them to get the most current trends. A user who likes to be very technical will get technical recommendations. This also applies to customers and stakeholders.

4. AI provides real-time analytics

Real-time analytics are important in a digital workplace. Analytics give important insights that show the interaction users are having with content and the value they are getting from the interaction.

AI engine can deliver useful analytics on the go, which you can then use to improve the content features to ensure users are always getting the most relevant information.

The other benefit of AI-powered analytics is that they come with recommendations that can be used to inform changes that impact users. Instead of making blind decisions, the AI provides guidance on what is good and not so good for users, based on user behavior.

The real-time analytics can also provide insights that can prove useful in driving organizational growth. The massive content in the possession of the organization, coupled with how users interact with it, is indeed a goldmine of opportunities waiting to be tapped.

5. AI enriches collaboration

Collaboration is already taking off as the central pillar of the digital workplace. Now, you will agree that in most cases, information or content is constantly at the center of collaboration. Even in areas like programming, a lot of collaboration involves the exchange of or seeking of content that contains crucial information that can help developers make better products.

Because collaboration is critical, speed and quality are important. Teams collaborating on tasks like content creation need to be able to do it in real-time. AI makes this possible and does more than just collaboration.

AI powered content collaboration tools can offer much help in terms of editing and proofreading, and even suggesting more materials that can enhance the quality and accuracy of the content being created.

Modern AI powered knowledge management software like those we develop at Tricension come with rich AI powered collaborative features that encourage users to collaborate both within and between departments.

Also Read: Artificial Intelligence for Knowledge Management

6. AI unlocks the potential of voice search

AI has made it possible to integrate voice and natural language processing features into content management processes.

With this, the users of your content can now search for certain information by using their voices instead of having to always type to the search engine bar as it has always been the case. Once the voice search is captured, natural language processing algorithms take over and effectively understand the intent of the voice search commands. The user gets relevant results.

The use of voice search is a welcome breather from the traditional way of searching through typing queries to the search engine. It saves users huge amounts of time that they can divert to other tasks, hence accomplishing more work within the same time.

7. AI enhances data security and privacy

The digital workplace is ever filled with all manner of sensitive information, some belonging to customers and other third parties. The regulations require organizations to handle all sensitive information alongside stipulated rules. As a company, failure to comply with these rules will result in penalties which you can easily avoid.

AI makes it easy to comply with these regulations through AI algorithms that can detect potential threats to data in real-time and alert administrators or even stop some of the threats before they develop into attacks aimed at the network.

AI can also be used to anonymize data such that people with malicious intent are not permitted access to sensitive content that could potentiate user identities.

The essentials of AI that power content management

The key components that work together to drive AI in content management include Natural Language Processing, Prediction orAnticipation, and Machine Learning. These essential elements are the backbone of the AI revolution that is capable of completely transforming content management and replacing the old systems:

1. Natural Language Processing

NLP is all about understanding the human language, then processing it to serve the user with relevant results. This is achieved in the following ways:

Translation: NLP can provide translations between different languages in real-time, eliminating the traditional manual transition. This makes content accessible to any type of audience, regardless of their language affiliations or location.
Sentiment Analysis: An AI-powered CMS is capable of analyzing the sentiment of users as they interact with content, based on factors like reactions. This can then be used to improve content through such actions like removing insensitive material, adding more facts, etc.
Semantic Analysis: AI-powered content management processes can comprehend the context of any type of content, making it possible to accurately categorize and tag information. This includes visual content i.e images and videos.

2. Anticipation

This is very important. What if your organization could use a content management system that can predict what a user needs and make it available in advance, or suggest it? This is the power of anticipation, or prediction if you like. With this capability, it’s possible to achieve the following:

Automatic content recommendations: Predictive content management systems can predict what a specific user wants and recommend it even before the user starts to look for the information.
Trend discovery: Predictive ML models can give forecasts into new trends, helping users to take advantage of emerging trends and win over the competition.

3. Machine Learning

Machine Learning algorithms are designed to learn from data. Once they learn, they can achieve the following in content management:

Detection of errors: ML algorithms can identify errors in content and help with ensuring that content is always of the highest quality
Categorization: Machine Learning is effective at automating the process of categorization, thus getting rid of manual categorization that consumes a lot of time and resources.
Preference alignment: Machine Learning algorithms can learn user behavior and patterns over time, then use this learning to deliver content that aligns with the preferences of different users.

Also Read: How to Leverage Enterprise Search to Enhance Knowledge Management

Measuring the success of AI-driven content management

To ensure that your AI-powered content management is delivering excellent results, make a point of measuring these key metrics:

User satisfaction: Diligently measure metrics such as the number of people that are using the knowledge management system on a daily basis, the number of users reporting success in solving work-related problems as a result of using the knowledge base, the increase in number of customer tickets being solved per given time as a result of using the knowledge management systems, etc.
Sentiment Analysis: The AI system can actually measure user sentiment from feedback to help gauge the feelings of users towards the content management processes. The sentiments can then be used to improve the system
Measure query response times to determine how fast the system is capable of receiving requests, retrieving the needed information, and finally displaying it to the user
Measure the error rate, which is the frequency of incorrect results. The aim is to keep the rate at the lowest or negligible at best
Track the cost savings accrued as a result of using AI for content management
Calculate growth in revenue that can be attributable to the integration of Ai into content management, to determine the Return On Investment.

Also Read: Feedback Loop in Generative Artificial Intelligence

Conclusion

According to a study conducted by McKinsey, employees in many workplaces are spending a whopping 1.8 hours per day looking for information that they need to do their work. If your employees work 8 hours a day, which is the norm in the corporate space, then this easily translates to nearly a quarter of one employee’s entire work day. What a waste of time!

Why are employees spending this much time to get the right information? Well, the information is simply hard to get. It’s heaped somewhere in systems or held in the minds of subject matter experts in the company.

AI engine can help you ensure that this ‘failure’ does not engulf your organization and paralyze your workplace in an era where digital is the norm, the new arena where competition is won or lost.

At Tricension, we take pride in being leaders in the domain of Artificial Intelligence. Our Domain AI solutions offer cutting edge AI technology that will transform your content management into a powerhouse that makes information easily accessible to the users who need it when they need it – in real-time.

Jeff Roper

16:18 29 Aug 17

We contracted with Tricension to take on something of a unique challenge with our firm; importing data from a variety of database types into our format. We gave Tricension some basic information on the process that we were using within our company and no documentation on the database itself. They have done an excellent job of familiarizing themselves with our database and other database types, creating their own processes to more efficiently import the data, and working with customers to keep them updated on progress.They have an excellent approach to project management and have done a great job of keeping our customers updated on progress. Our business fluctuates quite a bit seasonally, and they have done a great job adding staff to the projects during busy times and dialing back during slow periods. Although the cost per hour is higher for their service, we save money and provide better service by utilizing Tricension due to their staffing flexibility.

Chancie Adams

17:33 01 Sep 17

Tricension came to the table with expertise and dug deep to understand what our company needed. They scoped our project appropriate and applied the right resources to get it done on time, on budget, and delivered exactly what we needed. Their staff is professional and highly skilled.

Renee Keffer

20:44 29 Aug 17

Tricension is a great business partner. They put focus on delivering a quality product and put the needs of the customer first. When our requirements shifted mid-project, they worked with us to make the necessary adjustments to ensure success.

Kevin Huntsman

12:26 06 Sep 17

The team at Tricension does an exceptional job! They are very easy to work with and the entire team is well prepared and exceeds all of my expectations. I would highly recommend Tricension.

Frank Kaul

19:47 08 Sep 17

The Tricension team has completed several integration projects for us to dramatically improve transaction processing and eliminate error prone data entry. These projects have had a dramatic impact on our business. I really enjoy working with their people.