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DTSTAMP:20260521T050646Z
DESCRIPTION:Click for Latest Location Information: http://edw2024.dataversi
 ty.net/sessionPop.cfm?confid=159&proposalid=14977\nThe White House's 20
 23 National Strategy to Advance Privacy-Preserving Data Sharing and Analyti
 cs (PPDSA) aims to unlock the beneficial power of data analysis while safeg
 uarding privacy and confidentiality. Recognizing the power of data in incre
 asingly AI-driven economies, these technologies can be game changers in imp
 roving the well-being of individuals and societal prosperity. They can prom
 ote science and innovation in a responsible manner that affirms democratic 
 values.\n\nTo overcome the challenges in the adoption of PPDSA solutions, t
 his talk will discuss how data governance and architecture can be instrumen
 tal for enterprises in implementing PPDSA. We'll delve into use cases f
 or techniques such as synthetic data, differential privacy, homomorphic enc
 ryption, multiparty computation, and federated learning. We'll assess t
 he strengths and limitations and pinpoint their optimal placement within en
 terprise data architecture. Furthermore, we'll explore new governance p
 aradigms essential for operationalizing PPDSA capabilities and share best p
 ractices and pitfalls to avoid.\n\nWhat you will learn:\n\n
 An overview of key PPDSA techniques and applicability.\n
 Comparative strengths and limitations of PPDSA techniques.\n
 Integration of PPDSA into enterprise data architecture.\n
 Data governance framework for operationalizing PPDSA.\n
 Best practices and pitfalls in implementing PPDSA.\n\n
DTSTART:20240326T134500
SUMMARY:Privacy-Preserving Data Governance and Architecture
DTEND:20240326T142959
LOCATION: See Description
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