Executive Summit

As attackers leverage AI to move faster than ever, traditional security strategies are falling behind. CIOs are now tasked with defending their organizations at machine speed, requiring a shift from reactive patching to proactive, autonomous protection. Leading enterprises are adopting continuous risk governance and measurable guardrails to ensure accountable AI adoption. CIOs are tasked with aligning business strategy with security outcomes and deliver board-level visibility into risk and remediation, all while enabling innovation.

Join this session to learn:

• Aligning business strategy with real-time risk governance
• Implementing measurable guardrails for accountable AI adoption
• Delivering board-ready visibility into AI risk and remediation progress

Enterprise governance was built for a human decision cycle: submit, approve, execute, close. AI agents don't work that way. As intelligent systems become embedded across workflows, CIOs must balance innovation, accountability and operational control without slowing the business.

In this boardroom, we’ll discuss:

• Evolving governance models for AI that operate continuously across workflows and decisions
• Creating visibility, accountability and trust without introducing new layers of bureaucracy
• Moving from task automation to outcome orchestration across teams and functions

Siloed operating models, inconsistent data quality and technical debt hinder CIOs from achieving the data-driven outcomes their businesses expect. Open Data Infrastructure enables CIOs to consolidate environments and improve data reliability by separating storage from compute, adopting open standards and ensuring interoperability. The result: a data foundation that's easier to govern, more cost-effective and supports current analytics workloads and future AI initiatives.

Join this boardroom to discuss:

• Building a data foundation that supports AI initiatives
• Modernizing data infrastructure to eliminate silos and reduce technical debt
• Improving data quality and availability for reliable data-driven decision-making

Connect with like-minded peers in a one-on-one setting through Peer-to-Peer Meetings. You will be matched with peers in your community based on your shared interests and priorities.

AI is enabling employees across the business to build apps, agents, and automation at an unprecedented speed. While this unlocks significant productivity and innovation, the result is a wave of, "wild code": AI-generated solutions developed outside traditional IT governance. As organizations struggle to balance speed with security and control, conventional approaches are proving insufficient. This session will explore how teams can build, run, and monitor AI-created work with governance embedded throughout.

Join this session to:

• Understand the risks, cost, and overall business impact of "wild code"
• Recognize why traditional governance models fall short in the AI era
• Learn how to scale AI-driven innovation without sacrificing security or control

Leveraging good quality data enables strategic decision making, but obtaining and defining “good data” isn’t a simple task. Organizations can fail to clarify data value and ownership, factors that often contribute to quality issues.

Join this session to discuss how to:

• Identify and articulate the value of good data to internal stakeholders
• Engage business partners and data owners to take accountability for data quality
• Encourage data literacy to enable self-sustaining, data driven decision making

Organizations are investing heavily in AI, yet many struggle to demonstrate meaningful returns. Many organizations mistakenly focus on productivity per employee rather than financial value creation that flows to a P&L. Another year of extensive AI spending without delivering ROI on AI is unsustainable. This session explores how CIOs can establish a disciplined approach to AI economics and turn AI investments into sustainable business impact.

Join this session to hear about:

• Moving beyond productivity gains to measurable ROI and business outcomes
• Evaluating AI investments through the lens of value, cost, risk, and organizational readiness
• Creating a repeatable framework that aligns the C-suite and scales AI value realization across the enterprise

Finish the day sharing lessons learned with your peers over light fare and drinks at this closing reception hosted by your governing body members.