Privacy-Enhancing Technology Summit EU Agenda

Are you curious about how privacy-enhancing technologies (PETs) can help enterprise data professionals? Explore the fundamentals of PETs and how they can benefit your organisation. You will learn how PETs are not a magic bullet, and they need to be combined to improve your company's data strategies. We will also compare different PETs to show you how to find the right solutions for your needs. By analysing the differences between PETs like FHE vs TEE or MPC vs FL, you'll be able to determine the best option for your organisation. We'll also examine how different combinations of PETs enable you to plan what's needed to succeed in your organization. The outcome will be an enhancement of your expertise in order to take your data strategy to new heights.

As data becomes more valuable, it's important for data scientists to leverage privacy-enhancing technologies (PETs) while ensuring the integrity of their results through appropriate legal and governance frameworks, including audits. However, it's also crucial for PETs to be made more accessible to non-technical users. To make PETs work effectively, all players, from legal compliance to security teams, must come together. It's also important to focus less on technology and more on enabling value across different functions.

While the digitisation of information continues to grow, organisations must be strategic about preserving privacy. Regulations, governance, and policies are all at the forefront of standardising data collaboration practices. While they may differ by nation, industry, or even project type or scope, data-driven enterprise customers understand the importance of these standards. To stay on top of developments in the PETs landscape, it's important for data-driven enterprises to understand how it has changed, how it will evolve, and what the top priorities should be.

At Partisia we are pioneers in building, tailoring and offering high-security privacy preserving software by providing new standards for secure solutions to protect and compute on confidential and highly regulated data. In this session we will present how Europe is currently focused on using privacy preserving measures in the healthcare industry to encrypt, protect and enable collaboration between hospitals and organizations using Multiparty Computation. In extension of that we will also present the future of data ownership, where each citizen is at the center of their own personal data, and has the power to controllably share it in a transparent and secure way across industries.

PETs offer remarkable opportunities for safely realising the full value of data, but engaging and implementing PETs in regulatory and infrastructure environments geared towards traditional methods of managing data poses a barrier. Closing the gap between modern information working practices and the tools and systems that are needed to enable PETs is critical to realising their opportunity.

Fully homomorphic encryption is an extremely valuable PET for confidential computation, but is well known for the challenging degree of computation that is required. Optalysys are not only developing the hardware that overcomes this computational challenge, but addressing the difficulty of incorporating powerful FHE technologies into valuable data workflows.

In this talk, we will be launching our Innovation Lab and presenting the current state of play for our existing accelerator technologies, the extensions and augmentations to these systems that we will be making over the year, and the opportunities that will be presented by our SDK for development and connectivity.

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

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. 

Over the last 3 years, I have been working on streamlining and monetizing external data collaborations in pharma. I want to share with you the challenges I faced, the projects that succeeded and failed, and the immense cultural and trust change that needs to be operated to achieve results.