Beyond AI Models: Monetization, Security & Responsible Systems at Scale

Join us for a high-impact evening with leaders driving AI monetization, security, and responsible systems across global enterprises.

📅 Date: July 9th
📍 Location: Bellevue City Hall
This event brings together real-world insights on how organizations are moving beyond AI experiments to scalable, secure, and value-driven systems.

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### 🗓️ Agenda

4:30 PM – 5:30 PM
Check-in & Networking
5:30 PM – 6:00 PM
Keynote by Robin Sutara - Americas AI Enablement Leader, Databricks
Topic: The Change Management Nobody Talks About in AI Transformation
6:00 PM - 6:30 PM
Parichit Sahay – Head PM, Monetization & Strategy (Cisco AI, Splunk, AppDynamics), Splunk
Topic: From Models to Moats: Building Sustainable AI Businesses Through Workflow, Value Realization, and Control Points
6:30 PM – 7:00 PM
Gajendra Babu Thokala - Senior Engineering Leader, Apple
Topic: Responsible AI Is an Engineering
7:00 PM – 7:30 PM
Rajesh Kumar Maruvada - Digital and Identity Platform Owner at Suncorp Bank
Topic: Cyber protection for both Human and non humans Identities in the era of Deep fake, rogue AI, and quantum computing cryptography
Discipline: Operationalizing Trust at Scale
7:30 PM – 8:00 PM
Networking & Leadership Q&A

Why Should Attend

• Learn why AI success is no longer about models—but about workflow, control points, and value realization
• Understand how identity, security, and Zero Trust principles are evolving in the era of deepfakes and AI-driven threats
• See how leading teams are embedding Responsible AI into engineering systems—not just policy frameworks
• Discover how to scale AI without compromising trust, governance, or performance
• Get practical insights into turning AI into a sustainable business capability—not just experimentation
• Understand where most AI initiatives fail: integration, ownership, and operational execution

### Who Should Attend

• Those working on AI, data, and security systems
• People building or managing end-to-end workflows and production systems
• Individuals involved in AI-driven products, platforms, or architectures
• Anyone working on identity, access, governance, or risk
• Those exploring how to translate AI into real business value
• Professionals navigating AI adoption alongside existing systems

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