Agentic AI Exchange
From Pilot to Production: Turning Agentic AI Vision into Governed, Scalable, Measurable Reality
San Diego, California | April 29 - May 1, 2026
Agenda Day 3
ROI & Value Creation
7:30 am - 8:30 am
EST
BREAKFAST
8:30 am - 8:35 am
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DAY THREE WELCOME
8:35 am - 9:05 am
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FIRESIDE CHAT: Leveraging Agentic AI Within Automation Programs for Maximum Efficiency Gains
Saeed Contractor -
Global Head of the Intelligent Automation CoE, Tech,
Uber
Neil Aronson - Global Head and Senior Director Strategic Sourcing & Vendor Risk, Coinbase
• How agentic AI is reshaping Uber’s automation ecosystem, moving from scripted workflows to intelligent, self-optimizing systems.
• Practical lessons on designing, deploying, and governing agent-driven automation that balances autonomy with oversight
• Tangible business outcomes Uber has realized, from reduced operational friction to improved customer and partner experiences
9:05 am - 9:35 am
EST
KEYNOTE: The Future of Agentic Commerce: How Autonomous Agents Will Redefine Consumer and Business Experiences
Duan Peng -
former Chief AI and Data Officer,
Ashley Furniture
• How agentic AI will transform shopping, procurement, and marketplace interactions through always-on, autonomous decision-making
• The infrastructure, standards, and safeguards needed to enable trustworthy agent-to-agent commercial ecosystems
• What businesses must do today to stay competitive as agent-driven experiences reshape customer expectations and value creation
9:35 am - 9:45 am
EST
BENCHMARK SURVEY
9:45 am - 10:35 am
EST
PANEL DISCUSSION: The ROI Imperative – Discussing Strategic Pathways to Achieving Business Value
Prakash Reddy -
Head Of Data Engineering & AI Enablement,
Atlassian
Duan Peng - former Chief AI and Data Officer, Ashley Furniture
Ahmad Fattahi - Executive Director, Generative AI, Genentech
• Defining what business value means
• Real-world examples across industries: from autonomous customer service agents to dynamic R&D copilots
• What it takes to move from experimentation to production—including data, architecture, and change management
• Best practices for optimizing inferences
• How to measure ROI, value creation, and performance gains in real-world agentic deployments
• Lessons from enterprises that successfully moved from pilot experiments to production-ready agent ecosystems
