Neil Aronson

Neil Aronson

Global Head and Senior Director Strategic Sourcing & Vendor Risk Coinbase

Neil Aronson is the Head of Global Strategic Sourcing & Vendor Risk Management, leading the enterprise-wide sourcing transformation for all expenditures at Coinbase, Inc. Mr. Aronson joined Coinbase in 2024 after serving as Senior Director, Global Sourcing, Supply Chain and Logistics at Uber Technologies for ~ 9 years.

Mr. Aronson is a founding member of the Silicon Valley Sourcing Leaders (SVS Leaders), a Bay Area professional group for Silicon Valley based sourcing professionals looking to challenge the status quo by applying new learnings that help organizations make better strategic spend decisions.



Agenda Day 1

3:20 PM ROUNDTABLES

1.ROUNDTABLE: Innovate Boldly, Govern Carefully: Navigating Vendor Risk in Agentic AI 

Led by Neil Aronson, Global Head and Senior Director Strategic Sourcing & Vendor Risk Management, Coinbase  

As organizations rapidly adopt agentic AI, expanding the vendor ecosystem can accelerate innovation, but also introduce new layers of risk. This roundtable explores how leaders can balance speed to market with responsible vendor selection, governance, and oversight. Participants will discuss practical approaches to evaluating AI vendors, managing security and compliance, and avoiding vendor lock-in without slowing progress. Join peers to share real-world lessons on building a resilient, scalable, and trusted AI partner ecosystem. 


2. ROUNDTABLE: Evolving Team Structures for the Age of Agentic AI 
Led by Wendy Zhang, Head of Applied & Agentic AI and Executive Director, Genentech


3. ROUNDTABLE: Trust at Scale: The Human Architecture Behind Enterprise Agentic AI

Led by Gopal Renganathan, Senior Director, Data & Analytics, Compass International Holdings

This roundtable explores the full lifecycle of human oversight in agentic AI systems from initial training and evaluation to real-time monitoring, correction, and retraining to measurement of human judgement. We’ll assess oversight models by risk profile, organizational readiness of roles, tools and thresholds for human intervention, as well as impact of human oversight on enterprise confidence, compliance and time to value. Join other practitioners discussing regulatory and audit expectations, and alignment of enterprise governance with standards and risk frameworks. Walk away with practical insights on how to quantify human error risk and design of oversight workflows to minimize it.


4. ROUNDTABLE: Straightening Out Data Foundations to Unlock AI’s Full Potential 


Other Topics may include:

1.    Mastering Multi-Agent Orchestration: Scaling Agentic AI Across the Enterprise

2.    Recalibrating Cloud Strategy for the AI Workload Era

3.    Discussing the Good, Bad, and the Ugly: Assessing the Latest Tools to Build Agentic AI Capabilities 



Agenda Day 3

9:05 AM FIRESIDE CHAT: Leveraging Agentic AI Within Automation Programs for Maximum Efficiency Gains

•    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