The "Privacy-Personalization" Paradox: Building Deep Memory Without Surveillance
About This Session
As assistants evolve into "Personal Guardians," they require "Deep Memory" (health, calendar, family dynamics). This session introduces the framework for On-Device Sovereignty. We examine the shift toward Federated Learning and Zero-Party Data, discussing how to design assistants that act as a "privacy buffer." This is for leaders building the next generation of trusted AI companions that reason on-device rather than in the cloud.
Speaker
Akhil Sharma
Senior Software Engineer - Meta
I am a Senior Software Engineer at Meta, where I drive the strategic evolution of our global advertising systems. My work focuses on building high-scale, proactive solutions that optimize the intersection of user experience and advertiser ROI. Previously, I served at Google, where I contributed to the core intelligence and infrastructure of Google Assistant. I am a dedicated advocate for the future of AI and emerging tech, and I thrive on proactive leadership partnership to bridge the gap between complex engineering challenges and long-term business goals.
