In small discussion groups, participants will dive into a series of short discussions covering key considerations for PET adoption and implementation.
● Potential applications of PET technologies
● Overcoming consumer perceptions
● Which PET is right for you
● Gaining buy-in and securing budget
● What the investors are saying
● How are regulators lowering the barriers to adoption
What are the common compliance matters affecting PETs use cases (e.g. data localisation, consent obligations)? Are there ambiguities around conditions for compliance? How can use case owners and regulators work together to untangle these ambiguities?

Darren Grayson Chng

Stanley Park

Connell O’Neil

Rishi Ganiswaran
Improve your company's data strategy effortlessly by integrating privacy-enhancing technologies (PETs) and overcoming internal obstacles with ease. In this session, seasoned professionals will teach you how to compare and merge PETs for unparalleled results. In this comprehensive session, you will learn how to compare PETs and explore their combinations for end-to-end implementation. Analyse the differences between PETs like FHE vs TEE or MPC vs FL to find the best option for your use case. Study factors like cost, benefit, and ROI to gain insight into the market's direction and what is needed to succeed. Enhance your expertise and take your data strategy to new heights.

Scott Getchel

Kwok Yan Lam
Professor Lam is the Associate Vice President (Strategy and Partnerships) and Professor in the School of Computer Science and Engineering at the Nanyang Technological University (NTU), Singapore. He is concurrently serving as Director of the Strategic Centre for Research in Privacy-Preserving Technologies and Systems (SCRIPTS), and Director of NTU’s SPIRIT Smart Nation Research Centre. From August 2020, Professor Lam is also serving as a Consultant to the INTERPOL. In 2018, Professor Lam founded TAU Express Pte Ltd as an NTU start-up upon successful completion of the Intelligent Case Retrieval System (ICRS) project, performed in collaboration with the Singapore Judiciary under the SPIRIT Smart Nation Research Centre. In 2012, he co-founded Soda Pte Ltd which won the Most Innovative Start Up Award at the RSA 2015 Conference. Prof Lam received his B.Sc. (First Class Honours) from the University of London in 1987 and his Ph.D. from the University of Cambridge in 1990. Professor Lam has been an active Cybersecurity researcher since 1980s. His research interests include Distributed and Intelligent Systems, Multivariate Analysis for Behavior Analytics, Cyber-Physical System Security, Distributed Protocols for Blockchain, Biometric Cryptography, Homeland Security, Cybersecurity and Privacy-Preserving Techniques.

Mark Bundgaard
Mark is the Chief Product Officer at Partisia, a pioneer and a world leader in commercial applications of Secure Multi-Party Computation (MPC). At Partisia we work on combining MPC with Blockchain technologies, aiming to set a new standard for digital infrastructures and secure privacy-preserving data sharing, private machine learning and quantum security.
Mark is a Computer Scientist from Aarhus University, Denmark and has extensive experience in cloud-native architecture, infrastructure as code, and blockchain architecture. Before his current role, he worked on various projects and functions at Toit, TDC NET, Danske Bank, and Jyllands-Posten.

Bruce Ahn
Partisia
Website: https://partisia.com/
Partisia Blockchain is the world’s first privacy based blockchain powered by Partisia’s 35 years of research and 15 years of practical implementation in multiparty computation solutions. Partisia Blockchain and Partisia together creates a unique blend of solutions that enable both public, private or a combination of both to provide a customized solution to organizations to solve for both transparency and privacy needs.
From creating new data market models, private auctions and tenders, unbiased random number generation, supply chain management, computation of private data for artificial intelligence models, and collaborative data analytics, Partisia and Partisia Blockchain can help create new business models, solve existing challenges and build new ways of establishing trust.
As the first company ever to have commercial success in implementing a multiparty computation solution and with established partnerships with corporations, NGOs and government bodies, our expertise has created new ways to establish trust and collaboration between any entities.
Please visit us at partisiablockchain.com and partisia.com
Billions of people around the world rely on access to information through websites and mobile applications. We are building for a privacy-first future, one where people have transparency in their ability to keep their online information private, and at the same time ensuring we maintain the integrity of a free and open internet. This requires a very close collaboration between Governments, Industries and Digital Ecosystems.
The IMDA x Google: PETs x Privacy Sandbox initiative; we are helping companies migrate to this privacy-first world, by providing the education and tooling necessary to become privacy-ready. In this session we will provide the audience with an overview of this strategic programme, discuss key updates, and share recommended actions to help prepare for a privacy-first future.

Kunal Guha

Ms Lee Chein Inn

Chrystelle Widjaja
Either your organisation is in the insights business or aiming to become more data driven, access and sharing of diverse and good quality data is essential. This comes with a range of challenges (Risks) especially if the underlying data entails confidential or personal information but also presents opportunities. By leveraging PETs, not only organisations can mitigate risks associated with privacy compliance and IP/confidentiality but also position themselves as trusted data collaboration partners while increasing sustainability and resilience of their data driven business. PETs vendors must also consider sustainability factors and be open to co-create creative collaboration models with their customers to revolve issues around pricing, dependability and interoperability.

Kwok Yan Lam
Professor Lam is the Associate Vice President (Strategy and Partnerships) and Professor in the School of Computer Science and Engineering at the Nanyang Technological University (NTU), Singapore. He is concurrently serving as Director of the Strategic Centre for Research in Privacy-Preserving Technologies and Systems (SCRIPTS), and Director of NTU’s SPIRIT Smart Nation Research Centre. From August 2020, Professor Lam is also serving as a Consultant to the INTERPOL. In 2018, Professor Lam founded TAU Express Pte Ltd as an NTU start-up upon successful completion of the Intelligent Case Retrieval System (ICRS) project, performed in collaboration with the Singapore Judiciary under the SPIRIT Smart Nation Research Centre. In 2012, he co-founded Soda Pte Ltd which won the Most Innovative Start Up Award at the RSA 2015 Conference. Prof Lam received his B.Sc. (First Class Honours) from the University of London in 1987 and his Ph.D. from the University of Cambridge in 1990. Professor Lam has been an active Cybersecurity researcher since 1980s. His research interests include Distributed and Intelligent Systems, Multivariate Analysis for Behavior Analytics, Cyber-Physical System Security, Distributed Protocols for Blockchain, Biometric Cryptography, Homeland Security, Cybersecurity and Privacy-Preserving Techniques.

Asad Preuss-Dodhy
To successfully roll out a new system in an organisation is it essential to ensure its effectiveness and obtain stakeholder buy-in. To get the internal buy-in and ensure effective integration of PETs with existing infrastructure it is essential that all affected stakeholders are involved at the earliest in the solution design discussions.

Bryan Tan

Erick Aviles
What are the real-world applications that industry players are using PET for? What are the practical issues? Hear snap insights from IMDA’s PET Sandbox and the adopters’ perspective in this special segment put together by IMDA. This segment will feature key industry players sharing their use cases in the retail, finance and advertising domain, followed by a special panel together with IMDA, as they dive into the unique and common challenges they face.
- Hear IMDA share what they have learnt in the year since they’ve launched their PET Sandbox and what’s next for this regulatory sandbox.
- How can PETs solve the challenges of sharing financial crime insights to disrupt criminal network activity while addressing tipping-off concerns? Derek will talk about the potential of using PETs for trans-boundary intelligence sharing.
- Can PET help companies personalise services for consumers while protecting user privacy? Hear Dr Li Ang share their application of PET in the retail domain.
- As the digital advertising industry moves into a cookie-less future, browser vendors and ad-tech companies are trying to work together through web standards bodies to develop new, PET-based solutions to attribution measurement that do not entail tracking. Meta and Mozilla have co-proposed a new API called "Interoperable Private Attribution" or IPA. Ben Savage will present on the learnings from their test pilot of IPA through the IMDA PET Sandbox, including the regulatory clarifications on the interplay between such privacy-preserving APIs and consent.

Adhiraj Saxena
Adhiraj is from the Singapore Government’s IMDA agency. He is the senior lead for its PET unit. As member of the PET Summit’s board, he helped bring the inaugural Asia Pacific PET Summit to Singapore in 2022. He sits in OECD’s PET Experts Workgroup to advice the G7 strategy on trusted data flow and AI safety. He has a background in data science and product development.

Derek Ho

Dr Li Ang
Dr. Li Ang is the Head of AI R&D at Ant's International Business Group (IBG). His team is responsible for developing innovative solutions to enhance IBG's broad spectrum of businesses such payment tech, embedded finance, FX and liquidity management. His team currently focuses on Privacy-Preserving Computation, AIGC/LLM-based customer engagement, and optimal decision making. Dr. Li has extensive experience in applying Operations Research techniques to various industrial settings, ranging from airline revenue management to seaport and airport operations control and to hospital resource allocation and disease screening. He has a Ph.D. from the Department of Industrial and Systems Engineering from Texas A&M University, and Master's and Bachelor's degrees from the National University of Singapore.

Ben Savage
Ben Savage is a senior software engineer at Meta, having worked there for over 10 years. He currently represents Meta in the W3C, with a focus on advertising and privacy. He previously worked on Facebook Shops, Audience Network, Store Visit ads, and the advertising API.

Ms Lee Chein Inn

Melvin Toh, CIPM
Melvin is a Senior Manager in Deloitte Singapore’s Technology & Transformation practice. As part of the Data & Privacy team, Melvin has spent the past 5 years leading and delivering services to various clients at local, regional, and global scales in data-related domains, particularly data privacy and protection, and serves as a subject matter expert to the other teams in the firm’s practice in Southeast Asia.
Within this evolving field, Melvin is constantly looking out for opportunities and new developments to assist clients in their data privacy and protection journeys, such as in the areas of Privacy Enhancing Technologies and Privacy in Artificial Intelligence.
He looks forward to connecting with fellow like-minded individuals who share his passion for these domains and hopes to inspire meaningful discussions and collaborations.