Executive Guide to Data Sharing and Collaboration

This guide outlines the challenges faced by data teams in sharing and collaborating on data and AI assets. It identifies three primary challenges: the complexity and expense of current sharing solutions, the difficulty in collaborating beyond just data, and the fragmented security and governance issues that arise from these practices. The document presents a solution through a unified platform that promotes secure and efficient data sharing. It details how this platform can democratize data and AI across organizations, enabling easy access to datasets, AI models, and dashboards. The guide emphasizes the importance of simplifying collaboration, centralizing security and governance, and leveraging open standards for asset sharing across various platforms and regions. By implementing these strategies, organizations can accelerate innovation, enhance customer satisfaction, and ensure compliance with data privacy requirements.