Information and Knowledge Management in AI Era

This whitepaper discusses the impact of artificial intelligence on information and knowledge management. It outlines observations regarding the current state of information creation, noting that little new information is generated, and emphasizes the importance of seamless data movement. The paper examines the challenges posed by disparate IT systems that use unique languages, suggesting the adoption of public languages to improve communication and efficiency. It also highlights the disruption of the traditional data/information/knowledge pipeline, detailing how current IT practices contribute to knowledge loss. Recommendations for a new IT ecosystem paradigm are provided, alongside examples of innovative systems designed to address these issues. The paper concludes by advocating for the standardization of terminology within internal systems to enhance interoperability and reduce complexity. The appendix includes discussions on data sharing and management practices within enterprises, further supporting the proposed recommendations.