In an increasingly data-driven world, knowledge management is becoming a strategic success factor for companies. But how can the growing volume of information be used effectively? The answer lies in artificial intelligence (AI), which takes knowledge management to a whole new level. From the automatic organization and analysis of information to tapping into hidden sources of knowledge – AI offers countless opportunities to use knowledge more efficiently and make it future-proof.
In this article, you will learn what AI-supported knowledge management is all about, how it can revolutionize companies and what challenges arise during implementation. We also take a look at practical examples that show how AI creates real added value.
AI-supported knowledge management refers to the use of artificial intelligence to capture, organize, analyse and disseminate knowledge within a company. In contrast to traditional approaches, AI can be used to automate many processes that were previously time-consuming and error-prone.
Technologies such as machine learning and natural language processing (NLP) play a central role here. They make it possible to sift through large amounts of data, recognize correlations and provide knowledge in an intuitive way. Unlike conventional methods, AI-supported knowledge management focuses not only on managing existing knowledge, but also on making it accessible in a targeted manner and constantly developing it further.
The possibilities offered by AI in knowledge management are diverse. The most important functions include
These technologies not only make knowledge management easier, but also more effective and flexible.
At a time when data volumes are growing exponentially, it is becoming increasingly difficult for companies to organize relevant knowledge efficiently and make it accessible. Traditional knowledge management systems are reaching their limits, as they are often based on manual input and rigid structures.
AI offers a decisive advantage here: it can analyze huge amounts of data in the shortest possible time, highlight important content and filter out irrelevant information. This not only saves time, but also enables companies to access important insights more quickly and make well-founded decisions.
AI-supported knowledge management accelerates work processes and increases efficiency. Employees spend less time searching for information and can concentrate on strategic tasks instead. This gives companies that rely on AI a clear competitive advantage:
One of the biggest challenges for companies is the loss of experience when employees leave the company or change internally. AI can solve this problem: With the help of AI-supported systems, knowledge can be documented and structured more easily and thus be permanently available within the company.
AI-supported systems such as the great2know platform, which not only store and optimize knowledge, but also contextualize it, are particularly valuable. The result: a digital corporate memory that is available to employees as a resource at all times.
The introduction of AI-supported knowledge management offers numerous advantages, but also brings challenges. Companies that recognize these hurdles and address them in a targeted manner can make the most of the potential of AI.
Data protection is one of the biggest challenges when dealing with sensitive data. Companies must ensure that their AI systems comply with the applicable data protection regulations and prevent data misuse.
Important measures:
The complexity of AI systems can initially be overwhelming, especially for companies that have not previously used extensive technological solutions. This can lead to the introduction coming to a standstill or the systems not being used optimally.
Solution approaches:
Technological innovations are not always met with enthusiasm – especially when they change existing processes. Employees may fear that AI will replace their work or call their skills into question. This can lead to resistance.
Companies can promote acceptance by offering training, carrying out pilot projects and involving employees in the selection and design of systems at an early stage. A transparent and participatory introduction process ensures that AI is perceived as an opportunity rather than a threat.
AI technologies enable companies to automatically capture, structure and make knowledge accessible. With functions such as speech-to-text transcriptions, meetings, interviews or training sessions can be converted into searchable documents in real time.
Advantages of automation:
Traditional search functions often reach their limits when it comes to complex knowledge questions. AI-supported semantic search systems understand the context of a query and deliver more precise results.
AI-supported knowledge management plays a key role in the induction of new employees and in the handover of tasks between employees.
Opportunities in onboarding:
Opportunities in offboarding:
In practice, it is clear that a platform that combines human expertise with the possibilities of AI is the key to efficient knowledge management. great2know offers companies precisely this balance:
The AI-supported functions of great2know not only make day-to-day work easier, but also help companies to avoid knowledge loss and grow sustainably – a real game changer in modern knowledge management.
The importance of AI-supported knowledge management is growing steadily as companies increasingly recognize the strategic advantages they can gain from it.
With the right tools and strategies, AI-supported knowledge management becomes the basis for sustainable growth and thus a success factor.
