Organizations are increasingly confronted with knowledge and information management challenges that are best addressed through semantic, graph-based solutions, but are unsure where to get started. A key element contributing to the success of graph technologies will be the ability to rapidly prototype and develop knowledge graph solutions for business users to see value quickly. However, current limitations in the way large organizations manage and maintain data make implementations challenging, often getting stuck in design phases. In this talk, Thomas Mitrevski and Sara Nash will present a framework to rapidly create a working semantic architecture to connect users to their organizational information in a quick and efficient manner. The framework includes the development of a foundational semantic model (e.g. taxonomies/ontologies) and resources and skill sets needed for successful initiatives so that your knowledge graph products can scale, as well as the data architecture and tooling required (e.g., cataloging and storage) for enterprise-scale implementation. Sara and Thomas will provide real-world examples from their direct experience in driving several knowledge graph implementation initiatives, sharing lessons learned and key takeaways.