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Excerpt:
When leveraging external data sources or datasets located across internal silos, it is essential to consider potential organizational risks by being mindful of data usage barriers as well as the full data processing lifecycle. The most effective way to address these challenges is by ensuring the privacy and security of data while it’s used or processed. This is achieved through the use of Privacy Enhancing Technologies (PETs), a family of technologies that secure the usage of data by enabling, preserving, and enhancing the privacy of data
While PETs have been the subject of research for decades, recent advancements in efficiency and performance — as well as educational efforts that have broadened exposure beyond academic and research circles — have accelerated the use of these technologies in the commercial and public sector. As a proof point of this advancement, the Information Commissioner’s Office (ICO) in the UK recently led the development of PETs Guidance and other efforts tackling PETs adoption. Elsewhere on the global stage, Singapore’s government launched three initiatives earlier this month, including a PETs Adoption Guide and sandbox, to help advance the use of PETs for AI use cases.
PETs are important because they allow data to be utilized in ways that were not previously possible. They enable users to search and analyze cross-boundary and third-party data sources, expanding the ways in which data can deliver value for a wide range of use cases. To help showcase the impact of PETs, we will highlight three examples of technology-enabled data value extraction made possible by technologies from the category.
Read the full article over at TechFinitive.