The ability to identify and understand internal and external collaboration networks presents an ongoing challenge for many research institutions. This is particularly true for analysing broader industry networks, communicating the impact of industry collaborative efforts, and enhancing the visibility of applied research outcomes. In this presentation, we'll demonstrate how Swinburne University of Technology is leveraging ARDC Research Link Australia (RLA) data to map Swinburne research capabilities and partnerships. The RLA provides a foundational database to explore these collaborations by leveraging the persistent identifiers networks and linking ORCID to other PIDs like ROR, DOI, and RAID. We've enriched this data by infusing it with our internal Swinburne records and further enhanced and connected it using an open-source generative AI. Specifically, GenAI is used to clean and connect otherwise siloed datasets, enabling us to create insightful visualisations of Swinburne's extensive collaboration network. We will demonstrate interactive data visualisations from the Swinburne School of Business, Law and Entrepreneurship, and show case how this information enables us to explore Swinburne's thought leadership, innovation and industry partnerships. The presentation includes the School areas of societal impact including climate resilience, tackling bullying in sport, decarbonisation, sustainable tourism and poverty alleviation. Finally, we will discuss the valuable role of ORCID and ROR in creating this new capability for Swinburne, and discuss the information gaps, and potential future work in this area.