Implementing a Data Marketplace: Accelerating Data Discovery and Access in Large Enterprises with Gen AI

The integration of Generative Artificial Intelligence (Gen AI) in enterprise data marketplaces marks a transformative leap in data management practices, promising to accelerate data discovery and streamline access in large organizations. This paper examines the strategic implementation of a data marketplace that leverages Gen AI to democratize access to critical business data and break down long-standing information silos. By automating the tagging, indexing, and curation of vast data repositories, Gen AI enhances the speed and accuracy of data searches, thus empowering stakeholders to make data-driven decisions with greater confidence. The marketplace serves as a centralized hub where data is not only stored and managed but also continuously enriched with intelligent insights. This innovation minimizes manual data handling and reduces dependency on traditional data engineering efforts, which are often time-consuming and error-prone. In addition, the use of natural language processing capabilities enables users from various backgrounds to interact with the marketplace through intuitive queries, thereby fostering a culture of data literacy across the enterprise. The paper also discusses the challenges associated with integrating legacy systems and ensuring data privacy and security in a dynamically changing digital landscape. Overall, the confluence of Gen AI with a robust data marketplace infrastructure represents a significant step towards creating agile, resilient, and future-ready data ecosystems in large enterprises, ultimately driving competitive advantage and operational excellence.