Executive Summit

As AI evolves from insight to action, enterprises must manage a new class of digital actors — autonomous systems. This session explores how agentic AI reshapes risk, introducing challenges like authority drift, misconfiguration and behavioral deviation. It outlines a governance framework and architecture to ensure trust, control and resilience at machine speed.

Attendees will learn:

• How agentic AI changes enterprise risk and governance models
• The core pillars for governing users, AI systems and data
• Key architectural components to enforce real-time AI control and accountability

In 2018 you had two years to patch. Today the exploit often exists before the CVE does. This session argues that AI didn't break enterprise security – it removed the margin hiding how broken it already was. Evidence-led, experience-driven, and culminating in four uncomfortable actions you can take back to your team.
Join this session to:

• Assess why human-gated patch approval has become a liability rather than a control using measured exploitation timelines
• Scope autonomous containment and reversion authority by blast radius – determining what an AI analyst should be permitted to do alone
• Reframe recovery as a tested security control under your ownership by going beyond a checkbox

As enterprises shift from human‑driven to human‑supervised operations, AI has introduced new forms of complexity that traditional monitoring can’t explain. The challenge is no longer whether systems are up, but whether leaders can clearly understand how decisions are made, where risk accumulates and why performance or cost changes in unexpected ways.

Join this session to discuss:

• Where visibility breaks down in AI‑driven, hybrid and multi‑cloud environments
• Why “nothing is down” no longer means systems are operating as intended
• How CIOs re-establish transparency and trust as autonomous actions scale

 As organizations accelerate analytics and AI adoption, reliable data and automated workflows are essential for agility and risk control. Leading teams are moving beyond reactive monitoring to achieve proactive, end-to-end visibility and embed governance-driven automation.

Join this session to:

• Build trusted, scalable data workflows
• Achieve visibility across modern data ecosystems
• Embed automation for secure, decision-ready operations

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 agent adoption cannot happen in isolation from existing applications, APIs, MCPs, and governance models. To move from experimentation to execution, CIOs require a practical playbook to separate the signal from the noise.

Join this session to explore how to:

• Evaluate where agents add meaningful value versus introducing risk
• Address practical adoption tradeoffs across real operating environments
• Gain a concrete framework for evaluating enterprise fit

AI has plenty of intelligence. What it lacks is enterprise context. To act with precision, AI must understand how a business operates.

Join this session to discover:

• Transforming fragmented data with a real-time System of Context
• Scaling AI with greater accuracy, accountability and business impact
• Aligning data strategy with enterprise AI initiatives

As investment in AI accelerates, CIOs face mounting pressure to balance innovation with long-term cost and dependency risks. As organizations increasingly rely on a growing ecosystem of AI platforms, tools, and providers, the next wave of adoption could create new forms of vendor lock-in and escalating expenses, challenges that may prove even more complex than those encountered during the cloud era.

Join this boardroom to explore:

• The hidden costs and commercial models shaping AI adoption
• Risks of vendor lock-in and limited interoperability across AI platforms and solutions
• Strategies to ensure informed decision-making and proactive management of future expenses

Technology transformation succeeds when people see themselves in the change. As organizations navigate new ways of working, leaders are challenged to create clarity amid uncertainty, help teams adapt with confidence, and create environments where innovation can take root. Drawing on his experience leading large-scale transformation across a global enterprise, Ryan Snyder, SVP and CIO at Thermo Fisher Scientific, will share lessons on leading change by keeping people at the center of the process.

Join this keynote to explore:

• How leaders create alignment and momentum during periods of transformation
• What it takes to build a culture where people embrace change and new ways of working
• Why investing in people is critical to delivering lasting business impact