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.

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.