Revolution in knowledge management: AI as the key to companies!

Revolution in knowledge management: AI as the key to companies!

In today's fast -moving business world, knowledge is the golden goods that modern companies cannot do without. But what about access to this valuable knowledge? Access to relevant information is often a challenge that many organizations present with major hurdles. Confusing folder structures, outdated wikis and knowledge silos help to ensure that valuable information remains hidden. This not only leads to wrong decisions, but also to a demotivation of the employees who are frustrated because knowledge is often not available where it is needed, as originstamp.com.

An online impulse from the Lüneburg-Wolfsburg Chamber of Commerce and Industry (IHKLW) on July 24 from 10 a.m. to 11 a.m., however, offers solutions. Under the title "Build AI Systems for Knowledge Management: CustomGpts, Retrieval Augmented Generation (RAG) and infrastructure decisions", the event is aimed at small and medium-sized companies that want to take the first steps in the field of artificial intelligence (AI). Participation is free of charge, but registration is required at www.ihklw.de/impuls-ki-Systeme .

Practical applications of AI in knowledge management

Speaker Paulina Merkel from the Mittelstand-Digital Center Hannover will show the participants how AI systems can help to achieve efficiency increases in knowledge transfer processes. This includes the establishment of individual language models, also known as CustomGPTs, as well as the use of the retrieval augmented generation (RAG) in order to provide information. Technical hurdles often stand in the way of all of these topics, but with a well -founded entry, companies can make great progress in knowledge management.

such as the celler-presse.de Basic knowledge coordinated. The goal is clear: companies should learn how to use AI to optimize their knowledge strategies.

The role of Large Language Models

A central building block of modern knowledge organization are Large Language Models (LLMS). These advanced AI models analyze, generate and translate texts based on large amounts of data. Although LLMS offer many advantages, such as the optimization of working hours by up to 19 percent and the identification of outdated information, they also have challenges. Incorrect information and bias from training data can negatively influence the quality of the results, such as umwerk.com.

In order to avoid further risks, the introduction to LLM-based knowledge management is ideally designed by focused pilot projects that use the dynamics and flexibility of this technology. Important applications could be the automation of documentation, internal knowledge assistants or the summary of meeting protocols.

Overall, it turns out that the potential of AI in knowledge management is enormous. But without the right strategies and the courage to change, it will be difficult to raise this treasure. For many companies, the upcoming online impulse of the IHKLW could be the right starting shot in a successful AI future, which not only protects resources, but can also increase employee motivation.

If you want to find out more about the event or have any questions, you are welcome to contact Thomas Rekowski, a consultant for corporate support at IHKLW. It can be reached by phone at 05141 9196-22 or by email to Thomas.rekowski@ihklw.de