The White House's 2023 National Strategy to Advance Privacy-Preserving Data Sharing and Analytics (PPDSA) aims to unlock the beneficial power of data analysis while safeguarding privacy and confidentiality. Recognizing the power of data in increasingly AI-driven economies, these technologies can be game changers in improving the well-being of individuals and societal prosperity. They can promote science and innovation in a responsible manner that affirms democratic values.

To overcome the challenges in the adoption of PPDSA solutions, this talk will discuss how data governance and architecture can be instrumental for enterprises in implementing PPDSA. We'll delve into use cases for techniques such as synthetic data, differential privacy, homomorphic encryption, multiparty computation, and federated learning. We'll assess the strengths and limitations and pinpoint their optimal placement within enterprise data architecture. Furthermore, we'll explore new governance paradigms essential for operationalizing PPDSA capabilities and share best practices and pitfalls to avoid.

What you will learn:

1. An overview of key PPDSA techniques and applicability.
2. Comparative strengths and limitations of PPDSA techniques.
3. Integration of PPDSA into enterprise data architecture.
4. Data governance framework for operationalizing PPDSA.
5. Best practices and pitfalls in implementing PPDSA.

Speaker: David Hendrawirawan

David Hendrawirawan is an adjunct faculty member at the University of Texas at Austin where he teaches a graduate course in responsible AI, data governance, cybersecurity, and privacy-preserving analytics. He helps clients architect data analytics platforms with quality, cybersecurity, privacy, and ML ops controls. Having previously been with a Big Four and global technology company, David now sits on the board of directors and provides advisory services to corporations on matters concerning AI trustworthiness, cybersecurity, and compliance. He's an active board member and volunteer in DAMA, ISACA, and IAPP chapters to promote interdisciplinary collaboration across data, risk, and technology professionals. He also owns a STEM Coding club for K-12 students where his dedicated team empowers future generations with data and cybersecurity literacy.