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.
Bastiaan Quast
Jo Ann Davaris
Ellison Anne Williams
Ellison Anne Williams is the Founder and CEO of Enveil, the pioneering Privacy Enhancing Technology company protecting Data in Use. Building on more than a decade of experience leading avant-garde efforts in the areas of large-scale analytics, information security, computer network exploitation, and network modeling, Ellison Anne founded the startup in 2016 to protect sensitive data while it's being used or processed – the 'holy grail' of data encryption. Powered by homomorphic encryption, Enveil’s award-winning ZeroReveal® solutions provide Trusted Compute in Untrusted Locations™, enabling previously impossible business functionalities for intelligence-led decision making.
Leveraging her deep technical background and a passion for evangelizing the impact of disruptive technologies, Ellison Anne has helped define and advance the Data in Use security space and cultivated Enveil’s capabilities into category-defining solutions that enable secure search, analytics, sharing, and collaboration. In addition to her ongoing contributions as a cybersecurity mentor and thought leader, Ellison Anne has been recognized as an SC Media Reboot Leadership Innovator Award winner, a Woman to Watch in Security, and a CyberScoop Leet List Honoree. She started her career at the U.S. National Security Agency and holds a Ph.D. in Mathematics (Algebraic Combinatorics), a M.S. in Mathematics (Set Theoretic Topology), and a M.S. in Computer Science (Machine Learning).
Vaikkunth Mugunthan
Vaikkunth is the CEO and Co-Founder of DynamoFL. He spearheads the ML research team at DynamoFL and is an expert in federated learning. Vaikkunth received his SM and Ph.D. in Computer Science from MIT.
