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Detalles

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

đź“… Date: July 9th
đź“Ť 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
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: Cyber protection for both Human and non-human identities in the era of Deep fake, rogue AI, and quantum computing cryptography
6:30 PM – 7:00 PM
Gajendra Babu Thokala - Senior Engineering Leader, Apple
Topic: Responsible AI Is an Engineering Discipline: Operationalizing Trust at Scale
7:00 PM – 8:00 PM
Networking

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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Temas relacionados

Artificial Intelligence
Cloud Computing
Big Data
New Technology
Internet of Things (IOT)

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