From AI Monetization to Enterprise Scale: Inside Real-World Architectures

Join us for a high-impact evening with leaders driving AI strategy, monetization, and large-scale enterprise solutions at some of the world’s most influential technology companies.
📅 Date: July 9th
📍 Location: Bellevue City Hall

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### 🗓️ Agenda

4:30 PM – 5:30 PM
Check-in & Networking
5:30 PM – 6:00 PM
Parichit Sahay – Head PM, Monetization & Strategy (Cisco AI, Splunk, AppDynamics)
Topic: From Models to Moats: Building Sustainable AI Businesses Through Workflow, Value Realization, and Control Points
6:00 PM – 6:30 PM
Ankush Gupta – Senior Solutions Architect, T-Mobile
Topic: From Legacy to Zero Trust: A Roadmap to building resilient Enterprises in the era of continuous disruption
6:30 PM – 7:00 PM
Gajendra Babu Thokala - Senior Engineering Leader, Apple
Topic: TBA
7:00 PM – 8:00 PM
Networking

Why Should Attend

• Most organizations are stuck in a paradox: modern AI ambitions running on legacy systems. This session shows how to break that deadlock without disrupting business continuity.
• Understand what Zero Trust actually looks like in practice—not just frameworks, but real steps to modernize identity, cloud, and security layers together.
• Go beyond the hype of AI models and learn why workflow, control points, and value realization are the real defensible advantages in today’s AI landscape.
• Discover how leading teams are building resilient systems that don’t just prevent breaches—but adapt continuously to threats and change.
• Learn how to turn AI from an experimental cost center into a sustainable, value-generating capability embedded in business operations.
• Get a clear view of where most AI initiatives fail—not at the model level, but at integration, ownership, and execution layers.

### Who Should Attend

• Those navigating the complexity of modernizing legacy systems while adopting cloud and AI
• Professionals working at the intersection of data, security, and AI systems
• Builders and operators responsible for end-to-end workflows, not just isolated tools or models
• Individuals involved in shaping how AI delivers real business value—not just technical outputs
• People dealing with identity, access, risk, and governance challenges in distributed environments
• Anyone trying to understand how AI systems evolve into long-term strategic assets rather than short-term experiments

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