Introduction Data has always been at the heart of why and how organizations do what they do. From healthcare, to finance, to government, to media and beyond, global organizations leverage data to develop solutions and services, drive decisions, and effectively engage with constituents. In fact, recent advancements in technology are rapidly increasing both the amount of data used and the way in which it is used. Did you know? Artificial intelligence (AI) and machine learning are being implemented at a record pace, and more and more organizations are finding the need to share data and insights with each other. Data has become an asset, a commodity, and unfortunately, also a potential risk for organizations. So, how do we improve and enhance the speed and accuracy of using data in a way that truly protects privacy? Now more than ever, there’s a need for a paradigm shift. 2