AI-powered knowledge management [free white paper]
This white paper explores how AI can help organizations preserve critical knowledge, accelerate onboarding, and ensure seamless knowledge transfer – all while addressing the broader, ongoing demands of effective knowledge management.
Turn your knowledge into a competitive advantage!
Download the whitepaper now and explore how AI can improve your organization’s knowledge management.
In this white paper, you’ll learn:
- The kind of impact bad knowledge management has on different stakeholders
- The 5 key challenges for organizations
- Theoretical foundations of knowledge, information and data management
- Where knowledge management breaks down
- How exactly AI helps with knowledge management
- Real-world examples of other companies using AI for knowledge management
- 10 steps toward efficient knowledge management (Cheat sheet)
About the authors
Tobias Eljasik-Swoboda is an AI Architect at ONTEC AI. With a PhD in computer science and a specialization in artificial intelligence, he has presented numerous research papers at international conferences. His expertise lies in developing reliable RAG systems tailored to business needs. In addition to technical implementation, he advises organizations on explainable AI and trustworthy AI solutions. Tobias has also published book chapters on data management and machine learning, and brings extensive experience in designing data centers and on-premise hosting.
Katharina Rainer is the Head of AI Marketing at ONTEC AI, with a strong background in communications dynamics and organizational learning. With a Bachelor’s in Psychology and a Master’s in Strategic Management, Katharina focused on how humans and organizations interact, learn, and grow, laying the groundwork for her expertise. Her professional background spans digital communication, experience design, and adult education, giving her a deep understanding of knowledge building and retention.
Christoph M. Ster is an expert at the intersection of data science, psychology and marketing. With degrees in marketing and psychology and experience as a lecturer in data science at the University of Applied Sciences Wiener Neustadt, he brings a unique perspective to organizational knowledge management. His master’s thesis on ‘Big Data in Psychology’ highlights his ability to connect data-driven approaches with psychological insights. Christoph has a strong background in social services and is skilled at translating complex data analyses into practical solutions.