AI-Powered Knowledge Base For Organizations
Organizations of all sizes across different industries are racing to use Artificial Intelligence in one form or the other.
In this rapidly evolving landscape, one critical need is emerging: the need for an AI-powered knowledge base.
Why is it becoming so critical for organizations? Let’s find out!
What is AI-Powered Knowledge Base?
An AI-Powered knowledge base is a central repository that stores and gives information as needed, to both internal and external stakeholders. It essentially acts as the organization’s one-stop intelligent advisor or consultant, available 24/7.
The knowledge base combines data storage with advanced machine learning algorithms. This enables it to automatically organize, categorize, and retrieve information with high levels of efficiency.
How AI is changing Knowledge Management
The most important change that AI is bringing to knowledge management is speed and intelligence.
When the people in an organization are able to access accurate information quickly, the collective responsiveness improves a great deal. Armed with the right information at the right time means everything can move fast.
Artificial Intelligence enables this, and this is why every forward looking corporate decision maker is pursuing an AI-powered knowledge base for their entities.
AI automates data categorization processes. This makes search more intelligent. With this, users are able to quickly extract insights from vast datasets. Repetitive tasks like content tagging and updates are also automated. The overall end result is faster decisions.
How AI Knowledge Base Differs From Traditional Knowledge Base
The difference between AI knowledge base and traditional knowledge base is far and wide, just like day and night.
Here are the key ways in which these two differ:
1. Automation
While the traditional knowledge base relies on manual activities to develop, update and organize content in various formats, an AI knowledge base leverages natural language processing and Machine Learning to automate these activities.
What this difference means is that an AI knowledge base can perform so many important knowledge related activities automatically. Think of tasks such as categorizing, tagging, and general updating of content. Now imagine all these tasks done without any human intervention. Besides being super fast (often instantaneous) it also saves all that time that was previously spent in a traditional knowledge base.
2. Search Functionality
The search functionality of a traditional knowledge base depends heavily on keywords to perform searches and return results to user requests.
How about the search functionality in a typical AI knowledge base? Well, AI-powered knowledge bases use semantic search. This enables them to understand the meaning and intent behind a user’s query. The searching is not based on mere matching of keywords like in the traditional knowledge base. The impact of this is that users get more relevant results with extremely high levels of accuracy.
3. Content Creation and Updates
This is an important difference because content is everything in knowledge bases, because the knowledge is availed in the form of content.
In a traditional knowledge base, content is mainly static and may never be up to date since it’s quite involving and time consuming to make manual updates.
As for AI knowledge bases, content is generated and updated automatically. This means that an AI-driven knowledge base is capable of serving the latest information, pulled in real-time from various sources within the organization.
4. Insights
There are barely any deep rooted insights you can gain from traditional knowledge bases. Yet insights are such a key driver of modern enterprise growth.
But for AI knowledge bases, the ability to derive insights from user behavior and content utilization is in fact one of the strongest advantages that comes with these modern systems. An AI knowledge base has ready features that automatically track user behavior including search patterns to offer valuable insights. These insights come in handy when you want to identify gaps or user preferences.
Components of an AI Knowledge Base
These are the key components that constitute anAi knowledge base:
1. Data Repository
One of the most critical components of an AI knowledge base, a data repository is the ‘information store’. Simply put, this is where all the information is stored.
In most the data repositories, there are often different types of knowledge, such as:
- Structured knowledge, for example FAQs
- Unstructured knowledge, for example customer support chats
2. Content Management System (CMS)
A fundamental component of any AI knowledge management system, a CMS is the critical component that is used to organize and generally manage the content that resides in the knowledge base.
Needless to say, the Content Management Systems that make part of the AI knowledge base must be equally AI-driven, and not just the traditional CMS tools that are definitely not efficient.
3. Machine Learning Models
Yes. ML is very important for the operationalization of AI knowledge bases. It’s the ML algorithms that make it possible for the system to learn from the data given to it and become better over time.
ML algorithms also make it possible for the AI to learn based on the interactions from users, as well as their feedback.
4. Natural Language Processing (NLP)
The role of Natural Language Processing (NLP) is to enable the system to understand and most importantly, interpret human language.
Thanks to NLP, the AI knowledge base is capable of analyzing and responding to user queries in an efficient manner.
These are just the core components of a typical AI knowledge base. But there are more. Other common components may include the User Interface (UI, Analytics, and features that enable the knowledge base to integrate seamlessly with other systems such as CRM (Customer Relationship Management), service desk software, etc.
Types of content in AI knowledge base
We touched a bit on this earlier on where we mentioned structured knowledge and unstructured knowledge. Let’s now go slightly deeper here.
1. Structured content
Structured knowledge is that which is already organized into specific schema or formats. This type of content is easy to search and as you can imagine, it’s seamlessly available to AI algorithms.
In structured knowledge, the information is neatly categorized into distinct fields. Examples include articles, reports, FAQs, etc.
2. Unstructured content
This knowledge is the exact opposite of the structured type. Unstructured knowledge lacks coherent organization, meaning it would require some level of processing in order to extract specific useful information. Another name we can use to refer to unstructured content is ‘raw’, since it’s simply all over the place with no clear order.
Common examples of unstructured content that you will find in an AI knowledge base include chat logs, videos, and images among others.
Luckily, the NLP component of an AI knowledge base will easily extract, make meaning of this type of knowledge and serve relevant results.
3. Dynamic content
Just as the name suggests, this is the type of content that is automatically generated based on user attributes. The user attributes are derived from interactions.
Examples of dynamic content include personalized recommendations, contextual help and support, real-time updates & alerts.
4. Automatically generated content
Like the case of dynamic content, automated content is produced by AI tools residing within the knowledge base system. These tools also use data and interactions to generate new content that varies based on the query.
Think of AI generated FAQs, transcription of video and audio content, customer support responses powered by chatbots, etc.
Advantages of an AI-Powered Knowledge Base
Whether it’s responding to market changes, making decisions during a crisis, giving support to customers or preparing new products for market. Any activity that requires information to execute will move extremely fast when you are able to get this information fast and accurately. Information is power!
These are the key advantages that an AI-powered solution will deliver for your organization:
Saving money
We have found that across many organizations, employees can spend between 5 to 7 hours per week on the lower side waiting for information. If this is just one employee, now multiply this by the number of employees you have. How much time is your team probably wasting? If we compute this down to hourly payment equivalent, how much of the company's money is going down the drain in wasted but paid time?.
Now these delays are completely eliminated. Employees are able to get the right information instantly. This translates to savings both in money and time.
Expanding opportunities
If the sales executive is able to get all the information they need without having to wait for someone to send it to them, it means they can prepare the materials faster. This also means they can handle more prospects at a time. This can lead to opportunities to increase the number of converted leads within a period of time. Serious clients will always appreciate faster and accurate information, as it enables them to make timely decisions. Give them this and they'll be happy to do business with your organization.
This is just one example. You can now see what this knowledge base can enable you to achieve regardless of your business model? More opportunities.
Cognitive amplifier for your organization
The fact that employees are empowered to make data-driven decisions swiftly means that operational efficiency is greatly enhanced. With this, your company can stay agile in responding to dynamic market conditions.
Powerful customer support tool
It can understand and respond to customer queries in real-time. We are talking about personalized assistance, 24/7. This will not only improve customer satisfaction but also free up the company’s human resources for more complex and value-adding tasks.
Institutional memory
But what does an AI-driven knowledge base do? It automates the process of preserving critical knowledge and expertise even as employees come and go.
This continuity ensures that your company can build upon its past successes and learn from mistakes, fostering a culture of continuous improvement.
Why choose Tricension's Solution
At Tricension, we are not just providers of AI-driven solutions. We are also leaders in AI with a history of successful AI project implementations for our vast network of clients.
You can depend on our engine to create a robust knowledge base from your organization’s data.
The following specific factors make our solution stand out:
Scalability
Our solution is highly scalable. You can quickly move from a small amount of data to a huge data volume without any struggle, and scale back when the need arises.
This is important because needs keep changing. Demand can expand and contract at any time. Your team can grow quickly, or the demand for your products can rise fast without warning.
Whenever any of this happens, your knowledge base should be dynamic enough to accommodate the changes. And our solution takes care of this!
Security and data privacy
Of course, it's critical that your organization's data remains safe. Our solution takes this into account and is built to secure your company's data from cyber attackers.
Besides security, you can also rely on our solution to adhere to privacy tenets. Whether your company is based in the USA, Europe or whichever part of the world, we have 100% commitment to observe privacy provisions.
DomanAI integrates seamlessly with existing systems
Integration is key in operations. It will not make sense to have this powerful knowledge base that is isolated from the other systems that are critical within your company.
Rest assured that your knowledge base will work smoothly with your other systems. From communication to sales and marketing and all others in-between, they'll link nicely to the knowledge base.
Cost
We know you work with a budget. So we are eager to discuss your needs, understand your goals and the outcomes you want to achieve from the knowledge base.
Based on this, we'll be able to advise a cost that is both friendly and competitive.
We aptly recognize that in today's world, financial resources are carefully allocated, and every expenditure must be justified. That's why we're not just interested in offering a standard knowledge base solution; we want to tailor our offering to your specific requirements.
