Transforming Knowledge Management in Business with Generative AI: Alternative Solutions, Risks and Regulatory Considerations
Khan, Umair Ali; kudryavtsev, Dmitry (2024)
Khan, Umair Ali
kudryavtsev, Dmitry
Haaga-Helia ammattikorkeakoulu
2024
Julkaisun pysyvä osoite on
https://urn.fi/URN:NBN:fi-fe2024101680571
https://urn.fi/URN:NBN:fi-fe2024101680571
Tiivistelmä
In our previous article, based on insights from the seminar on “Generative AI-Enhanced Knowledge Management in Business” in Haaga-Helia University, we explored the opportunities that generative AI presents for business knowledge management. We discussed practical use cases and the challenges businesses face when transitioning to generative AI systems, particularly the complexities of change management and system integration.
In this article, we build on those insights by examining alternative technological solutions for implementing generative AI, the risks and regulatory considerations involved, and the critical success factors that can drive successful AI adoption in businesses. By understanding these aspects, businesses can better navigate the challenges of generative AI implementation and harness its full potential.
In this article, we build on those insights by examining alternative technological solutions for implementing generative AI, the risks and regulatory considerations involved, and the critical success factors that can drive successful AI adoption in businesses. By understanding these aspects, businesses can better navigate the challenges of generative AI implementation and harness its full potential.