Privacy-Enhancing Technology Summit North America Agenda

Tuesday, 9 May, 2023
08:00-08:50
Registration and Networking
08:50-09:00
Welcome Address
09:00-09:45

Privacy- enhancing technologies are revolutionising the way we approach and use highly sensitive data. This panel will explore why capitalising on these developments is essential to drive value moving forwards.

  • Establishing how PETs can deliver additional business value through unlocking previously inaccessible data
  • Practical first-hand examples of successfully identifying relevant use cases, establishing proof of concept and deriving the benefits.
  • What the ROI of PETs will look like and how to measure that after implementation

Author:

Andrew Bjerken

Vice President, Head of Global Privacy
Marriot Vacations Worldwide

Andrew Bjerken

Vice President, Head of Global Privacy
Marriot Vacations Worldwide

Author:

Wendy Zhang

Global Head of Data and Analytics
CSL Behring

Wendy Zhang

Global Head of Data and Analytics
CSL Behring

Author:

Nishant Bhajaria

Director of Privacy Engineering, Architecture and Analytics
Uber

Nishant Bhajaria

Director of Privacy Engineering, Architecture and Analytics
Uber
09:45-10:30

With New York, Colorado and California as notable examples, the proliferation of state level data privacy regimes is imposing various restrictions on how data can be used. Could PETs simultaneously generate value and minimize regulatory friction?

  • Determining how PETs can comply with disparate regulations across the United States
  • Understanding the regulatory perspective on PETs and why there has been a global governmental push for implementation
  • Assessing which considerations need to be made to avoid regulatory challenge especially when it comes to innovative data sharing initiatives

Author:

Orrie Dinstein

Global Chief Privacy Officer
Marsh McLennan

Orrie Dinstein

Global Chief Privacy Officer
Marsh McLennan

Author:

Mark Chang

Senior Corporate Counsel, Privacy Compliance
SHEIN

Mark is the Senior Counsel, Privacy Compliance at SHEIN in Los Angeles, California. Prior to SHEIN, Mark has served as the Director of Risk, Compliance, & Privacy at the Florida State University in Technology Risk Management, Disaster Recovery, Research Compliance NIST 800-171, Audit Remediation, Security & Privacy trainings, and Privacy regulations in Payment Card Industry Data Security Standard (PCI DSS), Health Insurance Portability and Accountability Act (HIPAA), Family Educational Rights and Privacy Act (FERPA), & General Data Protection Regulation (GDPR). Mark has also worked at Goldman Sachs in the Technology Risk Regulatory, Policy, & Strategy team of the Engineering Division. Mark obtained his Master of Business Administration in Information Technology Management from the University of Texas at Dallas, Juris Doctor from Western Michigan University, and Bachelor of Arts in Economics from the University of Tennessee, Knoxville. Mark is a Certified Information Privacy Professional, Europe (CIPP/E).

Mark Chang

Senior Corporate Counsel, Privacy Compliance
SHEIN

Mark is the Senior Counsel, Privacy Compliance at SHEIN in Los Angeles, California. Prior to SHEIN, Mark has served as the Director of Risk, Compliance, & Privacy at the Florida State University in Technology Risk Management, Disaster Recovery, Research Compliance NIST 800-171, Audit Remediation, Security & Privacy trainings, and Privacy regulations in Payment Card Industry Data Security Standard (PCI DSS), Health Insurance Portability and Accountability Act (HIPAA), Family Educational Rights and Privacy Act (FERPA), & General Data Protection Regulation (GDPR). Mark has also worked at Goldman Sachs in the Technology Risk Regulatory, Policy, & Strategy team of the Engineering Division. Mark obtained his Master of Business Administration in Information Technology Management from the University of Texas at Dallas, Juris Doctor from Western Michigan University, and Bachelor of Arts in Economics from the University of Tennessee, Knoxville. Mark is a Certified Information Privacy Professional, Europe (CIPP/E).

Author:

Nada Bseikri

Assistant General Counsel, Data Privacy & Regulation
Robinhood

Nada Bseikri

Assistant General Counsel, Data Privacy & Regulation
Robinhood
10:30-11:10
Networking Break
11:10-11:55

Use case identification is only half of the battle. It is vital to then determine which of the various PETs are most appropriate to act upon it- especially the case given that in some situations multiple solutions might be required.

  • Collaborating with data science teams to ensure the technology delivers as promised and is stress tested in a variety of situations
  • Understanding differences between technologies and which use cases to apply them to
  • Determining how to effectively allocate resources to ensure maximum ROI

Author:

Lana DeMaria

Head of Data Privacy
Alaska Airlines

Lana DeMaria

Head of Data Privacy
Alaska Airlines

Author:

Joseph Gridley

Chief Privacy Officer
University of Maryland

Joseph Gridley

Chief Privacy Officer
University of Maryland

Author:

Jennifer Harkins Garone

Senior Director, Privacy and Information
Governance Carnival Corporation

Jennifer Harkins Garone

Senior Director, Privacy and Information
Governance Carnival Corporation
11:55-12:40

Inevitably, privacy-enhancing technologies are often viewed exclusively as a privacy tool. This panel will discuss whether this is too narrow an assessment that fails to account for the role PETs can play in both the development and maintenance of a profitable data strategy.

  • Bridging the perceived divide between privacy and data teams
  • PETs from a data governance and strategy perspective
  • Achieving data privacy by design and default

Author:

Chris Murphy

Chief Privacy Officer
Electronic Arts

Chris Murphy

Chief Privacy Officer
Electronic Arts

Author:

Karen Habercoss

Chief Privacy Officer
UChicago Medicine

Karen Habercoss

Chief Privacy Officer
UChicago Medicine

Author:

Lambert Hogenhout

Chief of Data, Analytics and Emerging Technologies
United Nations

Lambert Hogenhout

Chief of Data, Analytics and Emerging Technologies
United Nations
12:30-14:00
Lunch and Networking
14:00-14:30
14:30-15:20

One of the key capabilities of PETs provide is the ability to anonymise data, allowing for that data to be shared internally and externally in full compliance without risk of breach. This panel will focus on the subsequent benefits and practical steps for implementation.

  • Retaining data utility and quality after anonymisation
  • The implications of pseudonymised vs anonymised data
  • Building the infrastructure required for internal and external data sharing initiatives
  • Avoiding risk and understanding where liability lies if there were a breach

Author:

Alon Ben-Chorin

Director, Investigations - International Banking
Scotiabank

Alon Ben-Chorin

Director, Investigations - International Banking
Scotiabank

Author:

John Athanasiades

Senior Director, Financial Crime Management and Corporate Security
National Bank of Canada

John Athanasiades leads National Bank of Canada’s Financial Crime and Corporate Security division which includes anti-money laundering, fraud, terrorist financing and corporate / internal threat investigations.  He is responsible for putting in place a robust risk management and mitigation program by continuing to develop and reinforce strategies surrounding these issues.  Prior to joining National Bank, he had a career of nearly 30 years with the Royal Canadian Mounted Police managing and collaborating on several national and international strategic initiatives and investigations involving national security, anti-money laundering, terrorism, financial crime and intelligence. Before he retired, he led the Financial Integrity Program for the RCMP in the province of Quebec.  He holds a bachelor’s degree in Economics and Political Science from McGill University as well as completing a CAMS certification

John Athanasiades

Senior Director, Financial Crime Management and Corporate Security
National Bank of Canada

John Athanasiades leads National Bank of Canada’s Financial Crime and Corporate Security division which includes anti-money laundering, fraud, terrorist financing and corporate / internal threat investigations.  He is responsible for putting in place a robust risk management and mitigation program by continuing to develop and reinforce strategies surrounding these issues.  Prior to joining National Bank, he had a career of nearly 30 years with the Royal Canadian Mounted Police managing and collaborating on several national and international strategic initiatives and investigations involving national security, anti-money laundering, terrorism, financial crime and intelligence. Before he retired, he led the Financial Integrity Program for the RCMP in the province of Quebec.  He holds a bachelor’s degree in Economics and Political Science from McGill University as well as completing a CAMS certification

15:20-15:50
Networking Break
15:50-16:20
16:20-17:05

Artificial Intelligence and Machine Learning can allow companies to gain greater insights on existing data and explore new ways for that data to then be utilised. PETs can aid this process during development, implementation and monitoring.

  • Synthetic data as a means by which to train AI/ML models- the pros, cons and achieving the best result in practice
  • Utilising AI/ML in conjunction with PETs to help achieve a proactive rather than reactive data stance, cutting costs and saving time
  • Strengthening the ability of enterprise to comply with various requirements from regulators, customers and internal stakeholders especially as ‘Responsible AI’ gains traction.

Author:

Daniel Wu

Head of AI & ML, Commercial Banking
JPMorgan Chase

Daniel Wu is a technical leader who brings more than 20 years of expertise in software engineering, AI/ML, and high-impact team development. He is the Head of Commercial Banking AI and Machine Learning at JPMorgan Chase where he drives financial service transformation through AI innovation. His diverse professional background also includes building point of care expert systems for physicians to improve quality of care, co-founding an online personal finance marketplace, and building an online real estate brokerage platform.

Daniel is passionate about the democratization of technology and the ethical use of AI - a philosophy he shares in the computer science and AI/ML education programs he has contributed to over the years.

Daniel Wu

Head of AI & ML, Commercial Banking
JPMorgan Chase

Daniel Wu is a technical leader who brings more than 20 years of expertise in software engineering, AI/ML, and high-impact team development. He is the Head of Commercial Banking AI and Machine Learning at JPMorgan Chase where he drives financial service transformation through AI innovation. His diverse professional background also includes building point of care expert systems for physicians to improve quality of care, co-founding an online personal finance marketplace, and building an online real estate brokerage platform.

Daniel is passionate about the democratization of technology and the ethical use of AI - a philosophy he shares in the computer science and AI/ML education programs he has contributed to over the years.

Author:

Bastiaan Quast

Co-Secretary ITU-WHO Focus Group on AI for Health
ITU

Bastiaan Quast

Co-Secretary ITU-WHO Focus Group on AI for Health
ITU
Wednesday, 10 May, 2023
09:30-10:00
Registration and Networking
10:00-11:00

In intimate groups filtered by industry, attendees will discuss the use cases, challenges and opportunities they have experienced when looking to implement PETs. Attendees will also seek to identify the single most pressing privacy or data concern they currently face and how PETs could be a solution, before presenting back to the wider room to encourage cross industry benchmarking.

Groups to be split into:

  • Finance
  • Healthcare and Pharmaceuticals
  • Manufacturing
  • Marketing, Advertising and Social Media
  • Transport, Shipping and Logistics
  • Hospitality
  • Aerospace and Defence
  • Public Sector
11:00-11:30
Networking Break
11:30-13:00

Again in groups, attendees will be presented with a series of often faced challenges that potential PETs adopters will encounter and discuss best practices for mitigating them. Attendees will take part in one discussion from round A and one from round B.

Round A:

  • Handling and overcoming internal pushback
  • Identifying use cases and implementing in practice
  • Determining core privacy challenges

Round B:

  • Effectively utilising and maximising the potential of synthesised data
  • Establishing data-sharing initiatives with market competitors
  • Leveraging PETs to convince customers their data is safe
13:00-14:00
Networking Lunch and Close

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