CIO Leadership Summit – Ritz-Carlton Half Moon Bay

Registration Opens / Breakfast

Opening Remarks & Keynote

AI Colleagues: Agentic AI Architecture to Transform the Back Office

Keynote

The jQuery Moment for AI

Query transformed web development by abstracting browser chaos into elegant simplicity. AI development needs the same revolution. Today, building AI apps requires specialized knowledge of embeddings, vector math, and pipeline management—skills that sideline your best developers. Learn how modern platforms are flattening the AI learning curve, enabling any developer to build production AI without ML expertise.

Panel Discussion

Beyond Hype: Operationalizing AI Across the Enterprise

AI has become a part of our daily lives, but the hype has only just started to clear enough to really architect the plans, processes, and tooling that is really required to integrate agentic workflows into our businesses. This panel will discuss practical readiness questions: where AI actually belongs, when a need justifies agent autonomy vs. a well-scoped model call, underlying data readiness, and how governance, identity, and access need to evolve. Panelists will share the operational practices that have held up in production, and the good intentions that didn’t make the cut.

Mingle Break

Keynote

The Intelligence Layer: Powering Agentic AI Across the Enterprise- Fireside Chat

Keynote

From Tokens To Outcomes - A CIO's Autonomous IT Playbook

Enterprises have committed millions to AI, yet outcomes stay unproven. Automation Anywhere CIO Kapil Vyas will share the Autonomous IT Operating Model — the framework behind taking IT from 5% to 48% autonomy in one year. Learn about autonomous IT and the enterprise work delegation model for AI agents, and leave with a scorecard and glidepath to get started.

Panel Discussion

Escaping the AI Jungle: Architectural Strategies for Enterprise-Grade AI Data Planes

Most enterprise AI projects don't stall because of model selection or weak algorithms; they get lost in the "AI jungle" - a complex web of fragmented data sources, latency bottlenecks, and fragile operational infrastructure. Moving agentic AI from pilot projects into mission-critical production requires enterprise leaders to address the underlying data plane, regardless of their legacy technology stack. In this panel session, Jack Harper, Director of Solutions Engineering at Couchbase, moderates a discussion with IT and digital leaders across industries to explore how organizations are navigating from promising prototypes to resilient, real-time enterprise AI.

Lunch

Keynote

How Greptile Uses Shared Knowledge to Coordinate Security Agents and Find More Vulnerabilities

At Greptile, we use our Knowledge Base to get security agents to “coordinate” and share information as they analyze a codebase. Instead of each agent working independently, agents can build on context and findings surfaced by others, allowing them to investigate related attack paths, avoid duplicating work, and uncover vulnerabilities that may be difficult for a single agent to find on its own. In this talk, Daksh Gupta, ceo/co-founder of Greptile, will explain how Greptile uses shared knowledge as a coordination mechanism between security agents, why this approach leads to higher rates of security findings, and what we’ve learned about making multi-agent security analysis more effective.

Panel Discussion

Advancing Global AI Innovation and Governance

CIOs face pressure to realize generative AI’s benefits while maintaining governance, compliance, and visibility across the enterprise. As employees globally use browser-based AI tools to boost productivity, organizations encounter challenges from unapproved applications that may cause data leakage, security threats, and regulatory risks. Responsible AI adoption requires balancing innovation and control. Operational, security, and compliance implications of “Shadow AI” demand strategies for implementing policies that safely unlock AI’s potential in a global context. By proactively strengthening governance and security measures, organizations can drive effective AI adoption and maximize business value.

Join this session to discover:

• Identifying risks from unauthorized AI tools

• Establishing internationally compliant governance policies

• Empowering productivity with secure AI adoption

Keynote

Taming the Agents of Chaos: Bringing Order to AI-Driven SDLC

AI agents have made writing code cheap, and in doing so, unleashed chaos on the codebase. Changes now originate from every team and system in the organization leading to code volume explosion. In this era, how do you tame the AI-driven SDLC? This session introduces a new category of Agentic Change Management. Dev teams need a new SDLC control layer that understands the whole codebase, uses shared team-wide context to prioritize developer attention, validate code changes, explain change impact, and continuously monitor the code that ships.

Attendees will leave with: A framework for governing, agentic SDLC at enterprise scale, Four key pillars to help you Prioritize, Validate, Explain, and Secure agentic code, Real-world results from organizations like NVIDIA, Indeed, and Adyen

Mingle Break

Round Tables

1. Five critical mistakes to avoid when deploying AI for customer experience
2. Where AI Belongs:  Designing the division of labor between AI, automation, and people
3. Closing the Vulnerability-to-Remediation Gap: Why Detection Keeps Outrunning Action
4. Cybercrime Has Entered the Machine Age: What Technology Leaders Must Do Next.
5. Reinventing the IT Operating Model for AI
6. Governance for Humans, Oversight for Agents
7. Harmony: 89% of Employee Service Tickets Resolved: Real ROI, Agentic AI in Production
8. Simplifying the Complexities of Networking Infrastructure for AI & Cloud Environments

Closing Remarks / Networking Cocktail Hour