Securing success-critical knowledge with AI

Knowledge management Securing success-critical knowledge with AI

2024-11-20 Source: Karlsruhe University of Applied Sciences | Translated by AI 2 min Reading Time

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Taiwan Machine Tool & Accessory Builders' Association (TMBA)

Securing success-critical knowledge about work processes in the company: The KIproWork project at Karlsruhe University of Applied Sciences has developed an online method kit for this purpose over the past two years.

In the KIproWork project, HKA conducted research into AI-supported knowledge management, which companies can use to secure operational knowledge and disseminate it within the company(Image: Marco Baumgartner) — In the KIproWork project, HKA conducted research into AI-supported knowledge management, which companies can use to secure operational knowledge and disseminate it within the company
(Image: Marco Baumgartner)

In many companies, especially in small and medium-sized enterprises (SMEs), the decisive knowledge often lies in the hands of a few employees, the so-called key personnel. Their knowledge of operational processes is essential for the company's success, but it is difficult to document and pass on. This routine and automated knowledge is acquired through experience and is often not fully comprehensible. If a key person is absent or leaves the company, this can have a significant impact on business operations and valuable know-how can be lost.

Solution documents processes automatically

The Institute for Learning and Innovation in Networks (ILIN) at Karlsruhe University of Applied Sciences has been working intensively on this problem over the past two years as part of the KIproWork research project. The aim was to systematically identify key people and business-critical processes and to secure procedural knowledge with the help of artificial intelligence (AI). To this end, a solution was developed that automatically creates documentation of work processes.

Providing knowledge in line with demand

This documentation can then be made available to other employees in the company in an intelligent and needs-based manner. This safeguards operational knowledge in the long term, improves the efficiency and standardization of processes and makes it easier to train new employees.

A key focus of the project was to involve future users in the development process in order to ensure a human-centered and acceptance-promoting technology design.

Online method kit supports the introduction

In close cooperation with Miraminds GmbH, a specialist in AI and knowledge management, and Eisenwerk Würth GmbH as an application partner, the ILIN researched how technology-supported knowledge management can be successfully implemented in SMEs. The results are available to SMEs in an online method kit at kiprowork.de and offer practical support for the introduction of AI-supported knowledge management tools.

The KIproWork project was funded by the Federal Ministry of Education and Research (BMBF) in the "Future of Value Creation - Research on Production, Services and Work" program and supervised by the Karlsruhe Project Management Agency (PTKA).

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