Successful and reputed associations produce intuitive, unremarkable avenues for people both internal and external to access the data they store or produce. For example, this information directly described as knowledge might center on the company’s product or service or any content or concept that the company claims to have experienced.
You can create a knowledge base and manage it with a knowledge-based system to store and arrange extensive information within an organization.
First, you must understand “What is the Knowledge System?”
A knowledge system known as a knowledge-based system (KBS) is a computer program for extending or querying a knowledge base.
A knowledge base is a set of knowledge expressed for using formal knowledge representation language. A knowledge management platform uses a knowledge base to solve complicated problems and extract the applicable information for users.
Artificial intelligence researchers developed the first knowledge-based system. Two people run the knowledge system, i.e., a domain expert (subject matter expert or SME) and a knowledge engineer.
The domain expert is the authority on a particular topic or concept and provides the necessary information. Then, a knowledge engineer converts the information from the domain expert to create advanced logic into an actual computer system.
Knowledge-Based System Components
The three main components of a knowledge-based system are given here:
- Knowledge Base: It is a simply accessible data storehouse that contains information about a product, service, concept, or topic.
- User Interface: It is the component at which human users interact with the computer, application or website.
- Inference Engine: It is the component of the system that applies logical rules to the knowledge base to deduce new information.
A computer still runs knowledge-based systems. Therefore, the following challenges are common:
- Lack of Common Sense: Despite the efforts to add up human thinking, knowledge-based systems often expose lapses in human common sense because the artificial mind supports them.
- Inflexibility: AI-driven systems make decisions that are based on logical assertions and conditions, and therefore can be hard to manipulate.
- Restricted Domain of Expertise: Knowledge bases pull information from the stored knowledge. Because of the limited domain, the knowledge base is not always reliable or provides the best answer.
Top Reasons Why Knowledge Management Is Necessary
Below, you can check the important reasons needed within an organization.
- Speed up access to information and knowledge
Knowledge platforms make it easier to search the information or people who hold the information you need. As a result, it grows efficiency and productivity. It allows you to work better and reduces the tendency.
- Improve decision-making processes
Employees can enhance the quality and speed of decision-making by accessing the information of the whole organization when they require it.
- Promote innovation and cultural change
Enable and encourage ideas sharing, collaboration, and access to the latest knowledge. Knowledge management allows people to stimulate invention and the cultural changes required to evolve the organization.
- Increase customer satisfaction
The organization can give faster answers or shorten its time to improve a product or service.