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Delve into the newest guidelines and reports from esteemed authorities such as FCA, ICO, OFCOM, CDEI, and The Royal Society and discuss the use of aggregation techniques to customers and stakeholders, which is becoming increasingly important in today's data-driven world? How are companies working with experts in data science to ensure they're implementing PETs correctly and managing the associated risks? Guidelines express that technologies allow companies to protect sensitive data while still using it to drive innovation and growth, so what is next in the world of data optimisation?

Learn about the standards of PETs practice authorities such as the ISO, and the privacy by design and anonymisation standards. share data, encryption using PETs, and how automation is enhancing technology. International developments of privacy-enhancing technologies are becoming increasingly popular, as regulators worldwide promote their adoption. Get a glimpse of how industries are responding to this change by investing in PETs and leveraging their benefits. Can PETs build trust with

Moderator

Author:

Dr. June Brawner

Senior Policy Adviser for Data and Digital Technologies
The Royal Society

Dr. June Brawner is a policy advisor at The Royal Society, the UK’s national academy of sciences. She leads the Society’s work on Privacy Enhancing Technologies (PETs) within the Data and AI policy team, which is developing policy and promoting debate that helps the UK safely and rapidly realise the growing benefits of data science and digital technologies.

June’s career in academic and policy research spans the US, UK, and Central / Eastern Europe, with a focus on environmental data for policymaking.  Prior to her current role she worked as a research consultant and has previously completed fellowships with the Fulbright Commission and Columbia University’s Council for European Studies.

As an anthropologist, June is especially interested in the ‘social life’ of data: the cultural and political factors that hinder or promote the equitable use of data for research, innovation, and decision-making. To this end, she sees upholding the right to privacy as a key technical and social challenge in using data for societal benefit.

Dr. June Brawner

Senior Policy Adviser for Data and Digital Technologies
The Royal Society

Dr. June Brawner is a policy advisor at The Royal Society, the UK’s national academy of sciences. She leads the Society’s work on Privacy Enhancing Technologies (PETs) within the Data and AI policy team, which is developing policy and promoting debate that helps the UK safely and rapidly realise the growing benefits of data science and digital technologies.

June’s career in academic and policy research spans the US, UK, and Central / Eastern Europe, with a focus on environmental data for policymaking.  Prior to her current role she worked as a research consultant and has previously completed fellowships with the Fulbright Commission and Columbia University’s Council for European Studies.

As an anthropologist, June is especially interested in the ‘social life’ of data: the cultural and political factors that hinder or promote the equitable use of data for research, innovation, and decision-making. To this end, she sees upholding the right to privacy as a key technical and social challenge in using data for societal benefit.

Author:

Dr Ismini Psychoula

Senior Technical Advisor – Machine Learning, PETs, & Trustworthy AI
OFCOM

Dr. Ismini Psychoula is a Senior Technology Advisor at Ofcom where she works on multidisciplinary projects that integrate Machine Learning, Privacy Enhancing Technologies, and Trustworthy AI in the context of online safety.

Prior to her current role she worked as a Research Scientist in industry, leading privacy-preserving machine learning and explainable AI projects. Her expertise in artificial intelligence, privacy, and data governance, has led her to gain experience in variety of sectors such as healthcare, internet of things, finance, cybersecurity, and online safety.

In addition to her role at Ofcom, Ismini is also an Honorary Senior Research Fellow at UCL where she collaborates in research work related to federated learning, differential privacy, natural language processing, synthetic data, and responsible AI.

Dr Ismini Psychoula

Senior Technical Advisor – Machine Learning, PETs, & Trustworthy AI
OFCOM

Dr. Ismini Psychoula is a Senior Technology Advisor at Ofcom where she works on multidisciplinary projects that integrate Machine Learning, Privacy Enhancing Technologies, and Trustworthy AI in the context of online safety.

Prior to her current role she worked as a Research Scientist in industry, leading privacy-preserving machine learning and explainable AI projects. Her expertise in artificial intelligence, privacy, and data governance, has led her to gain experience in variety of sectors such as healthcare, internet of things, finance, cybersecurity, and online safety.

In addition to her role at Ofcom, Ismini is also an Honorary Senior Research Fellow at UCL where she collaborates in research work related to federated learning, differential privacy, natural language processing, synthetic data, and responsible AI.

Author:

Paul Comerford

Principal Technology Policy Advisor
ICO

Paul Comerford is a Principal Technology Adviser within the Technology and Innovation directorate at the ICO. Paul previously worked in academia as a lecturer, holding Computer Networks and Cyber security positions at several universities. Since joining the ICO in 2018, Paul is a lead on the development of UK GDPR guidance on anonymisation, pseudonymisation and also ICO PETs guidance published in September 2023.

Paul Comerford

Principal Technology Policy Advisor
ICO

Paul Comerford is a Principal Technology Adviser within the Technology and Innovation directorate at the ICO. Paul previously worked in academia as a lecturer, holding Computer Networks and Cyber security positions at several universities. Since joining the ICO in 2018, Paul is a lead on the development of UK GDPR guidance on anonymisation, pseudonymisation and also ICO PETs guidance published in September 2023.

Author:

Pavle Avramović

Emerging Tech & Research
Financial Conduct Authority

Pavle leads the Emerging Technologies Hub at the Financial Conduct Authority (FCA). He focuses on providing insights and thought leadership on how emerging technologies could impact financial services markets, consumers and regulators. His areas of focus include quantum computing, privacy enhancing technologies, synthetic data and distributed ledger technologies.

Previously he was closely involved in FCA’s efforts across RegTech and SupTech, including the TechSprint work programme. He also leads the Digital Regulation Cooperation Forum (DRCF) Horizon Scanning Workstream and is a member of the World Economic Forum Quantum Security Working Group.

He holds a MSc in Digital Innovation and Information Systems from the London School of Economics and is an Industrial Fellow at the University of East London. He has co-authored papers for the Harvard Data Science Review, Alan Turing Institute and other organisations, including presenting at major conferences and research seminars.

 

Pavle Avramović

Emerging Tech & Research
Financial Conduct Authority

Pavle leads the Emerging Technologies Hub at the Financial Conduct Authority (FCA). He focuses on providing insights and thought leadership on how emerging technologies could impact financial services markets, consumers and regulators. His areas of focus include quantum computing, privacy enhancing technologies, synthetic data and distributed ledger technologies.

Previously he was closely involved in FCA’s efforts across RegTech and SupTech, including the TechSprint work programme. He also leads the Digital Regulation Cooperation Forum (DRCF) Horizon Scanning Workstream and is a member of the World Economic Forum Quantum Security Working Group.

He holds a MSc in Digital Innovation and Information Systems from the London School of Economics and is an Industrial Fellow at the University of East London. He has co-authored papers for the Harvard Data Science Review, Alan Turing Institute and other organisations, including presenting at major conferences and research seminars.

 

Author:

Benjamin Moore

Senior Policy Advisor
DSIT

Ben is a Senior Policy Advisor at the Responsible Technology Adoption Unit (RTA), formerly the Centre for Data, Ethics and Innovation (CDEI), in the Department for Science Innovation & Technology (DSIT). At RTA, Ben leads the Responsible Data Access programme, which aims to drive innovative approaches to tackle data access barriers and includes a range of projects focused on Privacy-Enhancing Technologies (PETs).

Ben has experience working at the intersection of ethics and policy on AI and a wide range of data-driven technologies, including PETs.

The RTA has published an interactive PETs adoption guide and a repository of real-world use-cases, and co-ran the UK-US PETs prize challenges, a world-leading initiative to incentivise novel innovation in PETs.

Benjamin Moore

Senior Policy Advisor
DSIT

Ben is a Senior Policy Advisor at the Responsible Technology Adoption Unit (RTA), formerly the Centre for Data, Ethics and Innovation (CDEI), in the Department for Science Innovation & Technology (DSIT). At RTA, Ben leads the Responsible Data Access programme, which aims to drive innovative approaches to tackle data access barriers and includes a range of projects focused on Privacy-Enhancing Technologies (PETs).

Ben has experience working at the intersection of ethics and policy on AI and a wide range of data-driven technologies, including PETs.

The RTA has published an interactive PETs adoption guide and a repository of real-world use-cases, and co-ran the UK-US PETs prize challenges, a world-leading initiative to incentivise novel innovation in PETs.

Working together and sharing information can enhance efficiency and uncover untapped opportunities, allowing for the full potential of data-sharing to be realised. However, data is often kept isolated and restricted in order to prevent it from being compromised and to comply with various regulations. Professionals will share their experiences on how they have improved collaboration both within their organisations and with external partners, the challenges they have faced and how they have overcome them, and the potential for partnerships created by PETs.

Author:

Antonio Rocha

Data Protection Expert
Council of Europe

Antonio Rocha

Data Protection Expert
Council of Europe

Synthetic data technology is becoming increasingly popular among companies. It allows them to create new products and services and refine existing ones in a safe and cost-effective way. The synthetic data landscape is constantly evolving, and it is essential for companies to build AI toolboxes they can trust.  However, there is considerable tension regarding generative AI, and regulated enterprises need to ensure that their AI toolbox can be audited, understood, and explained.

Synthetic data can play an important role in achieving an efficient toolbox. It offers a safe and cost-effective way to test and refine products and services by generating data that mirrors real-world scenarios.  With applications ranging from mitigating data-sharing risks to improving real-world data quality, synthetic data is a powerful tool for enterprises looking to stay ahead of the curve. 

Moderator

Author:

Sal Kimmich

Technical Community Architect
The Confidential Computing Consortium (CCC)

Sal Kimmich is the Technical Community Architect for the Confidential Computing Consortium (CCC), where they bring together over a decade of expertise in computational architecture and cybersecurity. They started their career sharing Python scripts with other computational neuroscientists in the wild world of supercomputing. A decade later, they are still paying attention to the algorithmic side of open source tech. Before joining CCC, Sal worked as a scalable SecDevOps Machine Learning engineer and brought those contributions to the Cloud Native Computing Foundation (CNCF) and the Open Source Security Foundation (OpenSSF). They have focused on practical automation around security best practices like Security Slams.  Sal aims to make maintainers’ work rewarding, to create tech demos that dazzle, and to showcase the world-class Open Source Projects for Confidential Computing and beyond.

Sal Kimmich

Technical Community Architect
The Confidential Computing Consortium (CCC)

Sal Kimmich is the Technical Community Architect for the Confidential Computing Consortium (CCC), where they bring together over a decade of expertise in computational architecture and cybersecurity. They started their career sharing Python scripts with other computational neuroscientists in the wild world of supercomputing. A decade later, they are still paying attention to the algorithmic side of open source tech. Before joining CCC, Sal worked as a scalable SecDevOps Machine Learning engineer and brought those contributions to the Cloud Native Computing Foundation (CNCF) and the Open Source Security Foundation (OpenSSF). They have focused on practical automation around security best practices like Security Slams.  Sal aims to make maintainers’ work rewarding, to create tech demos that dazzle, and to showcase the world-class Open Source Projects for Confidential Computing and beyond.

Author:

Amir Tabakovic

Independent Advisor and Lecturer
Mobey Forum

Amir Tabakovic is an independent advisor and lecturer in Switzerland and Spain with the objective of closing the gap between privacy and data-driven innovation. 

His business experience includes an executive role at the machine learning pioneer BigML and a digital innovation leadership position at one of the top Swiss retail banks.

Amir is an honorary lifetime member and former member of the board at global digital financial services industry association, Mobey Forum where he is currently chairing the Expert Group on Data Privacy in the Age of AI."

Amir Tabakovic

Independent Advisor and Lecturer
Mobey Forum

Amir Tabakovic is an independent advisor and lecturer in Switzerland and Spain with the objective of closing the gap between privacy and data-driven innovation. 

His business experience includes an executive role at the machine learning pioneer BigML and a digital innovation leadership position at one of the top Swiss retail banks.

Amir is an honorary lifetime member and former member of the board at global digital financial services industry association, Mobey Forum where he is currently chairing the Expert Group on Data Privacy in the Age of AI."

Author:

David Pollington

Head of Research
Bloc Ventures

David Pollington

Head of Research
Bloc Ventures

Author:

Ryan Lasmaili

Co-Founder & CEO
Vaultree

Ryan has since childhood been fascinated by technology breakthroughs from space travel to EnviroTech, and in the last 12 years he has been involved with technology startups developing solutions to major problems. Ryan’s background is in financial mathematics with a passion for astrophysics and economics, having also worked in corporate environments in roles ranging from project manager to senior analyst, reporting to executives in listed multinationals. Ryan is always looking for ways to improve and apply his out of the box thinking to solving major cybersecurity problems with his biggest undertaking to date solving today’s and tomorrow’s data encryption & protection challenges.

 

Ryan Lasmaili

Co-Founder & CEO
Vaultree

Ryan has since childhood been fascinated by technology breakthroughs from space travel to EnviroTech, and in the last 12 years he has been involved with technology startups developing solutions to major problems. Ryan’s background is in financial mathematics with a passion for astrophysics and economics, having also worked in corporate environments in roles ranging from project manager to senior analyst, reporting to executives in listed multinationals. Ryan is always looking for ways to improve and apply his out of the box thinking to solving major cybersecurity problems with his biggest undertaking to date solving today’s and tomorrow’s data encryption & protection challenges.

 

Moderator

Author:

Antonio Rocha

Data Protection Expert
Council of Europe

Antonio Rocha

Data Protection Expert
Council of Europe

Author:

Jessica Tay

Head of Compliance
Lifebit.ai

Jessica Tay

Head of Compliance
Lifebit.ai

Author:

Marilia Aires

DPO

Marilia Aires

DPO

Author:

Geoff Smith

Privacy Director/Global DPO
Booking Finantial Services

Geoff is currently the Data Protection Officer for Booking Holdings Financial Services building Fintech capability within one of the words largest Online Travel Agencies. His operational experience spans across multiple sectors including Banking, Insurance, Travel, Hospitality, Public Sector, E-commerce and Energy both domestically and globally at FTSE100 and Fortune 250 companies. Geoff is Visiting Professor at Loughborough University where he lectures on Data Ethics & Trust, including topics such as digital leadership, ethical frameworks, and decentralised technologies. He is an advocate for human centred design and is currently involved in a number of projects focused on empowerment tech.

Geoff Smith

Privacy Director/Global DPO
Booking Finantial Services

Geoff is currently the Data Protection Officer for Booking Holdings Financial Services building Fintech capability within one of the words largest Online Travel Agencies. His operational experience spans across multiple sectors including Banking, Insurance, Travel, Hospitality, Public Sector, E-commerce and Energy both domestically and globally at FTSE100 and Fortune 250 companies. Geoff is Visiting Professor at Loughborough University where he lectures on Data Ethics & Trust, including topics such as digital leadership, ethical frameworks, and decentralised technologies. He is an advocate for human centred design and is currently involved in a number of projects focused on empowerment tech.

Privacy Enhancing Tech offers a secure way to use data, promising to unlock new use-cases. However, uncertainty around the legal status of data processed by PETs might impact their adoption. This session will explore the legal implications of using Privacy Enhancing Technology and how they impact key privacy principles such as: transparency, anonymisation, data transfers, etc.

Author:

Odvar A. Bjerkholt

Principal Lawyer - Data & Digital Transformation
BT Group

Odvar is a Principal Data Lawyer at BT Group, supporting their ambitious digital transformation. This includes advising on AI use-cases, deployment of new technology and operational data management issues. Odvar has over 8 years of hands-on experience advising on complex and multi-jurisdictional privacy projects and has a strong interest in Privacy Enhancing Technology and is actively exploring new ways BT can use data in a secure way by leveraging new tools.

Odvar A. Bjerkholt

Principal Lawyer - Data & Digital Transformation
BT Group

Odvar is a Principal Data Lawyer at BT Group, supporting their ambitious digital transformation. This includes advising on AI use-cases, deployment of new technology and operational data management issues. Odvar has over 8 years of hands-on experience advising on complex and multi-jurisdictional privacy projects and has a strong interest in Privacy Enhancing Technology and is actively exploring new ways BT can use data in a secure way by leveraging new tools.

Author:

Meriem Bacoup-ouarem

Group Data Privacy Manager & Data Protection Officer

Meriem Bacoup-ouarem

Group Data Privacy Manager & Data Protection Officer

In the modern world of data privacy regulations, it is no longer possible to join data sets collected from different sources for different purposes without a lawful basis such as explicit consent. This session will introduce the latest innovations in data collaboration, clean rooms and enablement strategies that leverage privacy-enhancing technologies to fast-track analytics programs.

Author:

Maurice Coyle

VP, Data Science & Head of Innovation
Trūata

Maurice Coyle

VP, Data Science & Head of Innovation
Trūata

There is brewing curiosity about how advertising manages to break through the third-party problem despite privacy concerns. Discuss the significant risks that signal loss poses for both advertisers and publishers if ads cannot be shown on platforms. Explore how technology takes precedence over privacy concerns when new parties join conversations about advertising partnerships, even within large marketplaces like Magnite. Is the key to breaking through the third-party problem lie in a high enough financial incentive? 

This panel discusses the importance of having all stakeholders on board, from legal compliance to security teams, to ensure the effective implementation of privacy-enhancing technologies. There must be an acknowledgement that technology obstacles are common in two-sided marketplaces, where one party may be more familiar with the technology involved than others, causing pilot projects to fail at early stages. In order to solve these problems, there needs to be a focus shift from technology implementation to enabling value across different functions. Learn more about the organisational hurdles for implementing PETs and how cross-functional collaboration can overcome them.

Moderator

Author:

Jovan Powar

Privacy and Security Researcher
Alan Turing Institute

Jovan is a security and privacy researcher with the Alan Turing Institute’s FAIR programme, working on foundational and practical concerns around the responsible adoption of AI and PETs in the financial services industry. In his PhD (pending examination) at the University of Cambridge he worked on risk management frameworks for data privacy and socio-technical system modelling for data governance projects.

Jovan Powar

Privacy and Security Researcher
Alan Turing Institute

Jovan is a security and privacy researcher with the Alan Turing Institute’s FAIR programme, working on foundational and practical concerns around the responsible adoption of AI and PETs in the financial services industry. In his PhD (pending examination) at the University of Cambridge he worked on risk management frameworks for data privacy and socio-technical system modelling for data governance projects.

Author:

Joerg Steinhaus

Head of Data Privacy
Gothaer Insurances

Joerg Steinhaus

Head of Data Privacy
Gothaer Insurances

Author:

Elli Papageorgiou

Senior Counsel, Privacy and Data Protection
Mastercard

Elli is a privacy and data protection professional working in the technology and payments industry, with a strong academic background. She has been advising on various privacy topics including biometric authentication, digital identity, data analytics and anonymization. Currently working with Mastercard's Data and Services business unit providing privacy by design advice on innovative data solutions. Admitted to practice law in New York and Athens, Greece.

Elli Papageorgiou

Senior Counsel, Privacy and Data Protection
Mastercard

Elli is a privacy and data protection professional working in the technology and payments industry, with a strong academic background. She has been advising on various privacy topics including biometric authentication, digital identity, data analytics and anonymization. Currently working with Mastercard's Data and Services business unit providing privacy by design advice on innovative data solutions. Admitted to practice law in New York and Athens, Greece.

Author:

Cédric Wahl

Co-Founder and CTO
Secretarium

An ambitious forward-thinker, Cédric has been working in the convergence space of Applied Maths, Distributed Computing and Finance for the last 25 years. Backed by a strong academic background in Applied Mathematics and Computer Sciences, he has built and led the exploit of large, distributed risk management compute systems for some of the most complex financial derivatives.  

 

Leveraging his knowledge of cryptography and investment banking privacy issues, Cédric then moved onto founding Société Générale’s Blockchain Lab in 2015.  

 

Now Co-Founder and CTO of Secretarium; a deep-tech trustless network start-up, committed to reshaping data ownership for the Web by providing privacy-preserving smart contract apps secured by PETs, he is driven by the desire to create a future where everyone controls their own data and can demonstrate honesty.

Cédric Wahl

Co-Founder and CTO
Secretarium

An ambitious forward-thinker, Cédric has been working in the convergence space of Applied Maths, Distributed Computing and Finance for the last 25 years. Backed by a strong academic background in Applied Mathematics and Computer Sciences, he has built and led the exploit of large, distributed risk management compute systems for some of the most complex financial derivatives.  

 

Leveraging his knowledge of cryptography and investment banking privacy issues, Cédric then moved onto founding Société Générale’s Blockchain Lab in 2015.  

 

Now Co-Founder and CTO of Secretarium; a deep-tech trustless network start-up, committed to reshaping data ownership for the Web by providing privacy-preserving smart contract apps secured by PETs, he is driven by the desire to create a future where everyone controls their own data and can demonstrate honesty.

Author:

Enrico Bagli

Data Science and Innovation Manager
CRIF

Bringing a decade of experience in data-driven innovation, I specialize in steering projects at the crossroads of data science and finance. My commitment is to amplify the impact of digital transformation while exploring cutting-edge technologies. My primary objective is to assist my company and its customers in navigating the era of the AI revolution successfully.

Enrico Bagli

Data Science and Innovation Manager
CRIF

Bringing a decade of experience in data-driven innovation, I specialize in steering projects at the crossroads of data science and finance. My commitment is to amplify the impact of digital transformation while exploring cutting-edge technologies. My primary objective is to assist my company and its customers in navigating the era of the AI revolution successfully.