Thought Leadership Dinner "The Convergence of Privacy, Data Security and AI Governance"
Join Us for an Exclusive Evening: Unusual Ventures Thought Leadership Dinner
We’re excited to invite you to a private gathering of senior engineering and technology executives at the Unusual Ventures Thought Leadership Dinner. This exclusive event is designed to catalyze strategic conversations at the intersection of AI, privacy, and data security—where emerging risks meet transformative opportunities.
You’ll be joining a select group of 16 technology leaders, including:
John Vrionis, Managing Partner, Unusual Ventures
Scott Schwartzhoff, Operating Partner, Unusual Ventures
Niamh O'Donnell, Director of Programs, Unusual Ventures
Abhi Sharma, CEO and Co-Founder, Relyance AI
Additional guests include top engineering and security minds from leading AI-forward organizations.
Venue details will be shared directly with registered attendees.
Topic: The Convergence of Privacy, Data Security, and AI Governance
As generative and agentic AI systems increasingly influence core business operations, enterprises face a critical challenge: balancing innovation with accountability. The convergence of privacy, data security, and AI governance is no longer a theoretical discussion—it’s a boardroom mandate.
Next-generation AI architectures require more than technical sophistication; they demand trust, transparency, and resilience. Privacy-preserving machine learning, secure model training, and real-time risk detection are rapidly becoming table stakes. Simultaneously, regulatory expectations around explainability, consent, and data lineage are reshaping how engineering leaders must design and deploy AI systems.
For Heads of ML, CISOs, and technology executives, this moment calls for intentional leadership:
How do we build systems that are not only intelligent, but inherently trustworthy?
How do we future-proof our data and AI pipelines for a fragmented global compliance landscape?
And how can we embed governance into AI development without slowing down innovation?
This executive roundtable will unpack these strategic imperatives:
What architectural principles drive AI systems that are secure, private by design, and auditable at scale?
How can companies align AI governance with data strategy to create sustainable competitive advantage?
What best practices are emerging across high-stakes industries—and what lessons can we learn from early adopters?
Join us for a candid, high-impact discussion on operationalizing trustworthy AI at scale—where security, privacy, and governance are not afterthoughts, but foundational design pillars.