Agentic AI Exchange East
Shifting from AI Delivery to AI Orchestration, Enablement, and Long-Term Value Stewardship
Westin Times Square, New York, NY | November 4 - 6, 2026
Agenda Day 1
TOOLS & INFRASTRUCTURE
11:50 am - 12:00 pm
OPENING REMARKS AND DELEGATE ORIENTATION
12:00 pm - 12:15 pm
CHAIR’S WELCOME DAY ONE
12:15 pm - 12:45 pm
ICE BREAKER
12:45 pm - 1:05 pm
KEYNOTE: The Rise of the AI Factory Model — Building Scalable, Reusable AI Infrastructure
Bharat Bendre -
Senior Vice President of Technology,
Equifax
1:05 pm - 1:25 pm
KEYNOTE: Foundations for the AI-Optimized Enterprise: Infrastructure for 2027 and Beyond
Deepak Sachdeva -
Chief Information Officer,
United States Air Force
1:25 pm - 1:45 pm
KEYNOTE: How to Reimagine and Design the Agentic Enterprise
1:45 pm - 2:15 pm
PANEL DISCUSSION: Creating an Effective Orchestration Layer to Move from Single Agent to Autonomous Multi-Agent Systems
Mansoor Basha -
Chief Technology Officer,
Stagwell Marketing Cloud
Arun Reddipalli - Head of Global Data Platform and Governance, Kimberly-Clark
Venkat Vedam - Head of Gen AI and Front Office Analytics, Manulife Investment Mgmt
2:20 pm - 2:50 pm
BUSINESS MEETINGS
2:55 pm - 3:25 pm
BUSINESS MEETINGS
3:25 pm - 3:55 pm
NETWORKING BREAK
3:55 pm - 4:55 pm
INTERACTIVE ROUNDTABLES
Chad Aronson -
Global Head of Intelligent Automation,
Uber
1. ROUNDTABLE: Leveraging Agentic AI for Intelligent Automation
Led by Chad Aronson, Global Head of Intelligent Automation COE, Uber
Other Topics may include:
- Understanding the Latest Open-Source Innovation
- Discussing the Good, Bad, and the Ugly: Assessing the Latest Tools to Build Agentic AI Capabilities
- Navigating the Clash Between Agentic Vision vs Reality Navigating the Clash Between Agentic Vision vs Reality
- Hyperscaler vs Neoclouds: Exploring Economic Models and Enterprise Appeal
5:00 pm - 5:30 pm
BUSINESS MEETINGS | concurrent INNOVATION WORKSHOP: A New Level of Visibility - Strategies to Achieving Full-Stack AI Observability
- How observability capabilities must evolve to keep pace with increasingly dynamic, self-optimizing systems
- Exploring emerging requirements such as real-time insight into model and agent behavior, telemetry for GPU and accelerator utilization, cross-layer correlation between data pipelines and inference workloads, and governance-ready auditability
- Understanding what new visibility, instrumentation, and automation are required to maintain reliability, efficiency, and trust in AI-first infrastructure, and what metrics to track
