In this informative presentation, we delve into evangelizing the business case for Privacy-Enhancing Technologies (PETs) to your team:
Formulating the Business Case:
Learn effective strategies for articulating the value of PETs within your organization. Understand how to align PETs with business goals and demonstrate their impact.
Attendees will leave equipped with practical insights to advocate for PETs adoption, enhance privacy practices, and drive organizational success.
In these roundtables, we delve into the heart of the data economy, exploring individual use cases, privacy challenges, and the intersection between Privacy-Enhancing Technologies (PETs) and generative AI. Key highlights include:
1) Building an AI Toolbox : Identifying Challenges, Building Use Cases & How PETs Help Address Generative AI Concerns
2) Use Case Exploration: Identifying privacy challenges in use case, how to choose PET , PET implementation
3) Generative AI : PETs to balance innovation and privacy
Attendees will leave with actionable insights to unlock data value while safeguarding privacy through the use of PETs.
“Tarun is a Privacy Leader with a background in Data Security, Privacy and Data Protection. Formerly the Global Privacy Manager for Qantas Group that includes Qantas Airlines, Jetstar Airlines and Qantas Loyalty, Tarun brings over two decades of experience working in various industries such as Healthcare, Retail, Telecoms, Leisure, Airlines, E-commerce and Banking across global organisations.
His specialisation includes operationalising Privacy, working with global Privacy legislations across 90+ countries building & leading progressive, pragmatic and sustainable Data Privacy programmes. With a strong business acumen, he has the ability to bridge the gap between technical, legal and regulatory landscapes.
Tarun currently holds various certifications in Information Security and Data Privacy (ISC2 CISSP, ISACA CISM & IAPP CIPM). He is a member, Chapter Chair and Asia Advisory Board Member for IAPP (International Association of Privacy Professionals).
Previously, he has also been the Advisory Board Member for Cybersecurity and Privacy startups. He has been interviewed by various UK publications including BBC and regularly addresses global audience at various international conferences.
He can be reached on LinkedIn – https://uk.linkedin.com/in/tsamtani”
Dr. Chi Chi Hung is currently a Senior Principal Research Scientist of Digital Trust Centre in Nanyang Technological University (NTU), Singapore. He obtained his Ph.D. degree from Purdue University, West Lafayette, U.S.A. Before he joint NTU, he has worked in industry (Philips Research and IBM Poughkeepsie), universities (Chinese University of Hong Kong, National University of Singapore, and Tsinghua University), and national research centre (CSIRO, Australia) for more than 30 years. Dr. Chi has been active in basic science research and technology development and deployment. He has published more than 300 papers in international conferences and journals, 10 edited books, and he holds 6 U.S patents. He was program/general chair of more than 16 international conferences and workshops and keynote/invited speakers for more than 30 events. Technologies he developed have also been transferred into industry successfully as startup companies. His current research areas include digital trust, security and privacy preserving, data engineering and science, knowledge modelling, behaviour and cognitive computing, artificial intelligence and machine learning, Internet-of-Things (IoT), service and cloud computing. In recent years, he has been focusing on technology research and translation into real use case solutions for economic and social problem solving.
In this enlightening panel, we explore the technical innovations that create trusted execution environments and foster data partnerships across functions, departments, and organizations, fostering a trusted and resilient data economy. Key highlights include:
Collaboration Between PETs and Confidential Computing:
Understand the need for synergy between these technologies to cater to enterprise-level adoption. Explore how PETs and confidential computing enhance data integrity and security.
Unlocking Sensitive Data Sets:
Whether dealing with personal identifiable information, health records, or financial reports, data integrity is invaluable. Discover a privacy toolkit that securely unlocks these data sets, empowering organizations to navigate privacy complexities.
Enhancing Trust and Resilience in Data Economy:
Embrace these innovations to create a stronger, transparent data ecosystem that thrives on trust and resilience.
Attendees will leave equipped with the understanding of how PETs and confidential computing go hand-in-hand and how these technologies increase data utility and data integrity, ultimately contributing to a stronger, more transparent data ecosystem that thrives on trust and resilience.
Silence Laboratories, a privacy technology and infrastructure company based in Singapore, provides algorithms and product suites using distributed computation and authorization technologies, particularly multi-party computation (MPC).
Silence Laboratories (SL) boasts one of the fastest threshold signatures and authorization libraries in production, safeguarding digital assets worth billions. SL’s libraries and infrastructure enable enterprises to collaborate on data without transferring it to a trusted party, thereby opening avenues for monetization and the development of innovative products. With partners across various sectors including finance, digital assets, and data industries, SL is creating a data-sharing and computation ecosystem where consent and privacy-preserving analysis are mathematically coupled, ensuring compliance and security. SL is a preferred choice by enterprises owing to its developer-friendly libraries and application-agnostic privacy-preserving collaboration tools.
Explore the multi-faceted landscape of GenAI development and usage, what are the real user issues, privacy concerns and the transformative power of PETs. From navigating user experiences to grappling with ethical dilemmas, hear our panel illuminate the challenges inherent in GenAI and how PETs can offer a unique solution in fostering innovation while safeguarding user rights and data integrity
Manprit works with Microsoft’s top customers to help them define their Data and AI strategy.
He consults in business value assessments, identifying potent use cases and creates an AI adoption roadmap and implementation architecture. By driving innovations in their entire value-chain he helps realize business value using AI.
He has 25 years of experience in applying AI in heavily regulated industries, like healthcare and financial services and specializes in helping adopt AI with agility yet responsibly.
Prior to his current position he worked for Accenture/Avanade, IBM, and Siemens Healthcare.
He also is a guest lecturer at Singapore Management University and NUS where he shares his personal industry experience in applying AI to help students have a better intuitive grasp of AI and its applications.
Christian Reimsbach-Kounatze is an Information Economist/Policy Analyst at the OECD Directorate for Science, Technology and Innovation (STI), where he has been working on topics related to the digital economy since 2008 and more specifically on data governance since 2010.
Since 2010, Christian has been leading OECD projects on data governance including: the OECD project on Data-driven Innovation, Enhancing Access to and Sharing of Data, and Data Portability. He is currently co-ordinating Phase III of the OECD Going Digital Project that focusses on Data Governance for Growth and Well-being, and is leading OECD work on “Emerging Privacy Enhancing Technology: Maturity, opportunities and challenges”.
Before joining the OECD, Christian worked as a researcher at the Institute for Information and Market Engineering of the Karlsruhe Institute of Technology (KIT) and at SAP Research (Germany). Christian holds a Diploma in Information Science, Engineering and Management and in Economics, both granted by the KIT.
In the ever-evolving landscape of data privacy, understanding the relevance of Privacy-Enhancing Technologies (PETs) is crucial. Hear how companies participating in IMDA PET Sandbox are leveraging Privacy Enhancing Technologies (PETs) to innovate and create new products and solutions. Uncover real-world examples showcasing the transformative impact of PETs, and understand why this matters to top companies seeking to navigate data privacy challenges while driving innovation. Gain valuable insights into the compelling business case for integrating PETs, and how it contributes to sustained success in an increasingly data-driven business environment.
Anne J. Flanagan serves as the Vice President for Artificial intelligence at FPF. Anne leads the FPF Center for Artificial Intelligence. exploring the data flows driving algorithmic and AI products and services, their opportunities and risks, and the ethical and responsible development of this technology.
An international policy expert in Data and Artificial Intelligence, Anne is an economist and strategic technology governance and business leader with 18+ years’ experience on five continents, including in the EU and the U.S.
Anne spent over a decade in the Irish government and EU institutions, including developing Ireland’s technical policy positions and diplomatic strategy in relation to EU legislation on telecoms, digital infrastructure, and data. She has represented Ireland in the EU Digital Single Market Strategic Group at the European Commission, the Working Party on Telecommunications and Information Society at the Council of the European Union and was responsible for foundational work on the EU’s Digital Single Market, including the EU’s early approach to AI governance.
Since moving to the U.S. in 2019, Anne has held several senior positions in technology policy, where she has helped senior technology business leaders shape responsible and sustainable technology development through her research, advice, and expertise. At the World Economic Forum, she developed and led a global portfolio of work on Data Policy and later led cross-product policy strategy for Reality Labs Policy at Meta Platforms Inc. in San Francisco, California.
Anne holds a Masters in Economics and Political Science from Trinity College Dublin, a Masters in International Relations from Dublin City University, and a Masters of Business Administration from Trinity College Dublin. Amongst her accolades, Anne is a Member of the Board of Advisors of the Innovation Value Institute (IVI) at Maynooth University and a recognized Woman Leader in Data and AI at WLDA.tech.
