Brian Scriber, Vice President of Security Technologies
How can technology help with global privacy regulation compliance, data analytics, and help us manage shared APIs, multiple companies, divisions, and departments with different data utilization strategies. How can differential privacy allow us to engage in meaningful research or demographic studies with detailed and privacy-protected datasets? Where are we now in the art of data management, software architecture, and where will we be in five years or ten years? How does self-sovereign identity play into this? Which historical experiences are analogous to our privacy and data protection work now and why is today’s IoT, video surveillance, facial recognition, artificial intelligence, and machine learning world different?