โข Assessing the technologies defining AI Infrastructure in 2026
โข Monoliths vs Modular: rethinking AI Architecture with real-world trade-offs
โข Explore CPU vs GPU shifts and the re-architecture of cloud contracts
โข The rise of AI-defined networking, storage, and resource orchestration
โข How hyperscalers are countering neoclouds
โข How energy constraints and sustainability now directly influence workload placement
โข What enterprises must build today to prepare for self-optimizing, agent-driven infrastructure in the next 24 months
โข Determining organizational readiness: infrastructure, data, and orchestration capabilities required to support multi-agent systems at scale
โข Where todayโs agentic tooling falls short and what must evolve for true autonomy
โข Governance, risk, and human-in-the-loop considerations for safe autonomous collaboration
โข Communication, coordination, and conflict resolution strategies among agents
โข Key design trade-offs: centralized vs. decentralized control
โข Practical lessons from real-world implementations
โข Tips for charting a roadmap from single agents to fully coordinated, enterprise-grade agent ecosystems
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. Weโll 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: How to Build the Business Case and ROI Payback Timeline for Agentic AI
Led by Ajay Kumar, CIO, Zero Motorcycles
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
4. Straightening Out Data Foundations to Unlock AIโs Full Potential Straightening Out Data Foundations to Unlock AIโs Full Potential