Metadata: An Integral Component of the Modern Data Strategy

This paper explores the pivotal role of metadata within the data management practices of organizations, and its subsequent impact on business decision-making. This paper presents a comprehensive exploration of the application of Generative AI in the realm of data analytics. As the volume and complexity of data continue to grow, effective metadata management becomes pivotal to understanding and utilizing data. With the ability to simulate human inferencing processes and generate contextual insights, generative AI offers promising avenues in improving metadata understanding, governance, integration, and quality. A crucial point of discussion in this paper is how the quality of metadata directly influences the output of Generative AI models. We present a proof-of-concept that illustrates this relationship using the COVID19 dataset and OpenAI text-ada-002 embeddings with GPT3.5 chat completion API. The paper further acknowledges potential concerns related to security, bias, privacy, IP, and the long-term effects on critical thinking abilities.