Whether it is internal or external, data sharing vastly improves efficiency and creates opportunity. Despite this, information is often isolated and siloed with limited access to protect it from compromise.
- Assessing data collaboration and partnership opportunities enabled by PETs
- Increasing internal and external data collaboration
- Lessons learned and how they could have been prevented
- Opening data and powering AI without sacrificing confidentiality and privacy
Erick Aviles
David Silva
David William Silva is a Ph.D computer scientist. He is responsible for translating business strategies and objectives into efficient, user-friendly, secure, and privacy-preserving data-centric solutions to enable organizations to extract maximum value from data correctly. David started his career as a Software Engineer focused on web services and agile software development. This experience led him to be involved with several projects, from startups to government and large corporations in many different fields. After 17 years of conducting R&D in Brazil, David moved to the US to engage in scientific research applied to a global industry of security and privacy, which has been his focus for the past nine years.
Daryl Pereira
Zee Kin Yeong
Maurya Velpula
Maurya is a Director with the Deloitte SEA Risk Advisory, Data & Privacy practice. She has over 16 years of experience in the provision of risk advisory services across public and private sector clients in Southeast Asia. Areas of focus include 1) Data Privacy and Protection 2) Enterprise Risk Management 3) Business Continuity & Crisis Management 4) Process Improvements.
Maurya has in-depth knowledge on privacy and data protection requirements in Singapore and the region. She also contributed to 3 nation-level initiatives in South-East Asia, two of which are for the development of data protection guides, self-assessment tools and certification standards. The third initiative is for the development of cloud outage incident response guidelines.