In the last few years, artificial intelligence has completely changed how we do business. AI-driven tools provide valuable real-time insights, assist marketers in creating content, and predict the results of different campaigns. Among other things, we can now use AI technology to improve enterprise knowledge bases, providing users with fully customized support.
“AI databases build upon their traditional counterparts, providing a dynamic solution to businesses,” states Tricension, a reputable software service provider. According to company representatives, their clients can now achieve higher accuracy and faster response rates by using these digital systems. Most notably, AI-driven knowledge bases reduce work for clients’ customer support teams.
In this article, we’ll explain how these modern databases differ from traditional systems. After that, we’ll talk about the most popular types of AI knowledge bases.
What Are AI Knowledge Bases?
Similar to a traditional knowledge base, the AI counterpart serves as a large information repository that users can tap into by asking a specific question. The unique thing about an artificial intelligence database is that it improves its data over time. The technology takes into account user interactions, customer feedback, and website behavior to modify its content.
By relying on AI, customer support teams don’t have to update content all the time. All articles, guides, and FAQs are changed with the introduction of new information, ensuring relevant insights for end users.
4 AI Knowledge Base Benefits
Most people don’t understand the leap these solutions have made by introducing AI. The new technology provides enormous value to enterprises and their clients, having long-term benefits for everyone involved. Here’s how they are different from traditional systems:
1. Better Customer Service
The first and most important thing about AI knowledge bases is that they significantly improve user experience. By constantly updating their content, enterprise companies can be certain their articles and guides are relevant and of high quality. That way, your users will be more satisfied not only with the customer support but also with your offer.
Among others, AI-driven tools use natural language processing to better understand human language. These databases can comprehend the context behind people’s words, ensuring that the answers are always on point, no matter how users formulate the questions. AI can even predict future questions, which would help the knowledge base generate preemptive solutions.
2. Faster Responses
Besides better quality of answers, an AI knowledge base can also ensure faster response times. Immediate response is one of the crucial factors for users and the main reason why they’re dissatisfied with different customer services. Proving a fast response is especially vital when interacting with marketing and sales teams.
By tapping into data from an AI knowledge base, your customer service team can provide immediate answers to clients and other users. Even if your employees are away from the keyboard, users can still get quick responses by using AI chatbots.
3. Consistent Experience
Whether users prefer to contact you via website, social media, PC, or mobile, you can always ensure the same experience. Artificial intelligence isn’t affected by the platform or format, ensuring the same consistency regardless of the situation.
In comparison, traditional knowledge bases would struggle in these situations. Standard solutions would deliver static content that is always the same and that doesn’t offer the same personalization as AI-driven content. This is another reason why artificial intelligence technology trumps the old knowledge bases.
4. Improved Efficiency
There’s no limit to the number of queries the AI knowledge base can process. The technology can provide quality answers across the board, resolving thousands of queries simultaneously. This would free up your employees to tackle more complex situations. All of this leads to lower costs and increased customer service productivity.
Types of Knowledge Bases
Another excellent thing about AI knowledge bases is their flexibility. Companies can create customized solutions that will help them execute specific tasks. Alternatively, your developers can create an all-in-one tool that would serve as a unique company search engine.
ML Knowledge Base
As the name implies, this type of knowledge base utilizes ML algorithms to improve interactions with users. These solutions take note of repeated questions to recognize trends and pinpoint common concerns. After that, it can improve the content within the database so it can provide better answers in the future.
Semantic Knowledge Base
AI semantic knowledge base is fantastic for uncovering the context of users’ queries. It relies on advanced semantic search technology, as well as context, concepts, and user intent, to connect the information to a specific question.
These types of knowledge bases are vital for companies that deal with all sorts of questions. As you can guess, they excel for vague, convoluted queries where algorithms have to work extra hard to provide a solution.
NLP Knowledge Base
Natural language processing is a subset of artificial intelligence and one of the commonly used technologies. It allows machines to understand human language at a high level, making the technology integral for chatbots.
An NLP knowledge base provides relevant answers by going through four main steps. First, it will identify unique entries, like products or names, which serve as the basis of a query. After that, it links these terms to relevant sources within the knowledge base.
Predictive Knowledge Base
Lastly, we should mention predictive knowledge bases. These systems assist you in resolving issues before they appear by predicting users’ needs and modifying the content accordingly. In some cases, a predictive knowledge base can even create new pieces based on what seems to be a potential future problem.
With a predictive knowledge base in your arsenal, you have a starting edge when addressing users’ needs. This makes it ideal for dynamic enterprise businesses where products and services change on the fly.
Conclusion
Based on everything mentioned in this article, an AI knowledge base is a type of solution your business needs. These proactive systems modify your content over time, ensuring that it’s always relevant. Furthermore, by tapping into its information, your agents can answer users’ queries much faster, ensuring high satisfaction rates.
