AI-Ready Data with Data Products

As organizations increasingly adopt AI technologies, the quality and reliability of data has become a critical success factor. This presentation explores how data products can help organizations systematically develop and maintain AI-ready data. We examine how treating data as a product – with defined ownership, quality standards, and governance processes – creates a foundation for successful AI initiatives. Drawing from recent research and industry experiences, we demonstrate how data product principles like clear ownership, standardized metadata, and automated quality controls can address common challenges in preparing data for AI, including data reliability, accessibility, and governance. The presentation offers practical frameworks and best practices for implementing data products to support AI readiness, helping organizations move from treating data as a byproduct to managing it as a strategic asset that drives AI innovation and value creation.