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.
Sal Kimmich
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.
Amir Tabakovic
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."
David Pollington
Ryan Lasmaili
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.